Tootfinder

Flow Engineering, which provides a collaborative hardware development platform for companies like Rivian, raised a $23M Series A led by Sequoia (Allie Garfinkle/Fortune)
https://fortune.com/2025/10/14/exclusive-f…

Exclusive: Flow Engineering raises $23 million Series A led by Sequoia to power hardware’s new era
Flow Engineering has raised a $23 million Series A, led by Sequoia and including the Collisons, Fortune has exclusively learned.

Flow-Opt: Scalable Centralized Multi-Robot Trajectory Optimization with Flow Matching and Differentiable Optimization
Simon Idoko, Arun Kumar Singh
https://arxiv.org/abs/2510.09204

Flow-Opt: Scalable Centralized Multi-Robot Trajectory Optimization with Flow Matching and Differentiable Optimization
Centralized trajectory optimization in the joint space of multiple robots allows access to a larger feasible space that can result in smoother trajectories, especially while planning in tight spaces. Unfortunately, it is often computationally intractable beyond a very small swarm size. In this paper, we propose Flow-Opt, a learning-based approach towards improving the computational tractability of centralized multi-robot trajectory optimization. Specifically, we reduce the problem to first lear…

OSCAR: Orthogonal Stochastic Control for Alignment-Respecting Diversity in Flow Matching
Jingxuan Wu, Zhenglin Wan, Xingrui Yu, Yuzhe Yang, Bo An, Ivor Tsang
https://arxiv.org/abs/2510.09060

OSCAR: Orthogonal Stochastic Control for Alignment-Respecting Diversity in Flow Matching
Flow-based text-to-image models follow deterministic trajectories, forcing users to repeatedly sample to discover diverse modes, which is a costly and inefficient process. We present a training-free, inference-time control mechanism that makes the flow itself diversity-aware. Our method simultaneously encourages lateral spread among trajectories via a feature-space objective and reintroduces uncertainty through a time-scheduled stochastic perturbation. Crucially, this perturbation is projected …

Mirror Flow Matching with Heavy-Tailed Priors for Generative Modeling on Convex Domains
Yunrui Guan, Krishnakumar Balasubramanian, Shiqian Ma
https://arxiv.org/abs/2510.08929 ht…

Mirror Flow Matching with Heavy-Tailed Priors for Generative Modeling on Convex Domains
We study generative modeling on convex domains using flow matching and mirror maps, and identify two fundamental challenges. First, standard log-barrier mirror maps induce heavy-tailed dual distributions, leading to ill-posed dynamics. Second, coupling with Gaussian priors performs poorly when matching heavy-tailed targets. To address these issues, we propose Mirror Flow Matching based on a \emph{regularized mirror map} that controls dual tail behavior and guarantees finite moments, together wi…

Intelligent backpropagated neural networks application on Couette-Poiseuille flow of variable viscosity in a composite porous channel filled with an anisotropic porous layer
Timir Karmakar, Amrita Mandal
https://arxiv.org/abs/2510.08745

Intelligent backpropagated neural networks application on Couette-Poiseuille flow of variable viscosity in a composite porous channel filled with an anisotropic porous layer
This study examines Couette-Poiseuille flow of variable viscosity within a channel that is partially filled with a porous medium. To enhance its practical relevance, we assume that the porous medium is anisotropic with permeability varying in all directions, making it a positive semidefinite matrix in the momentum equation. We assume the Navier-Stokes equations govern the flow in the free flow region, while the Brinkman-Forchheimer-extended Darcy's equation governs the flow inside the porous me…

Positive Hermitian curvature flow on 2-step nilpotent Lie groups
Ettore Lo Giudice
https://arxiv.org/abs/2510.08846 https://arxiv.org/pdf/2510.08846…

Positive Hermitian curvature flow on 2-step nilpotent Lie groups
We study the positive Hermitian curvature flow for left-invariant metrics on $2$-step nilpotent Lie groups with a left-invariant complex structure $J$. We describe the long-time behavior of the flow under the assumption that $J[\mathfrak{g}, \mathfrak{g}]$ is contained in the center of $\mathfrak{g}$. We show that under our assumption the flow $g_{t}$ exists for all positive $t$ and $(G,(1+t)^{-1}g_{t})$ converges, in the Cheeger-Gromov topology, to a $2$-step nilpotent Lie group with a non fla…

FM-IRL: Flow-Matching for Reward Modeling and Policy Regularization in Reinforcement Learning
Zhenglin Wan, Jingxuan Wu, Xingrui Yu, Chubin Zhang, Mingcong Lei, Bo An, Ivor Tsang
https://arxiv.org/abs/2510.09222

FM-IRL: Flow-Matching for Reward Modeling and Policy Regularization in Reinforcement Learning
Flow Matching (FM) has shown remarkable ability in modeling complex distributions and achieves strong performance in offline imitation learning for cloning expert behaviors. However, despite its behavioral cloning expressiveness, FM-based policies are inherently limited by their lack of environmental interaction and exploration. This leads to poor generalization in unseen scenarios beyond the expert demonstrations, underscoring the necessity of online interaction with environment. Unfortunately…

PCIe update: I'm getting through the flow control initialization for VC0 (the only one my minimal PCIe endpoint will support) and the host is now sending me a TLP. This appears to be a "set slot power limit" message request which I'm going to ignore because I'm not in an actual slot.
But I still need to ACK it and send flow control DLLPs, so that's next on the list. Right now the host repeatedly sends the TLP (not getting an ACK) until it times out from lack o…

RadioFlow: Efficient Radio Map Construction Framework with Flow Matching
Haozhe Jia, Wenshuo Chen, Xiucheng Wang, Nan Cheng, Hongbo Zhang, Kuimou Yu, Songning Lai, Nanjian Jia, Bowen Tian, Hongru Xiao, Yutao Yue
https://arxiv.org/abs/2510.09314

RadioFlow: Efficient Radio Map Construction Framework with Flow Matching
Accurate and real-time radio map (RM) generation is crucial for next-generation wireless systems, yet diffusion-based approaches often suffer from large model sizes, slow iterative denoising, and high inference latency, which hinder practical deployment. To overcome these limitations, we propose \textbf{RadioFlow}, a novel flow-matching-based generative framework that achieves high-fidelity RM generation through single-step efficient sampling. Unlike conventional diffusion models, RadioFlow lea…

I’ve been testing a theory: many people who are high on #AI and #LLMs are just new to automation and don’t realize you can automate processes with simple programming, if/then conditions, and API calls with zero AI involved.
So far it’s been working!
Whenever I’ve been asked to make an AI flow or find a way to implement AI in our work with a client, I’ve returned back with an automation flow that uses 0 AI.
Things like “when a new document is added here, add a link to it in this spreadsheet and then create a task in our project management software assigned to X with label Y”.
And the people who were frothing at the mouth at how I must change my mind on AI have (so far) all responded with resounding enthusiasm and excitement.
They think it’s the same thing. They just don’t understand how much automation is possible without any generative tools.

Analysis of the Geometric Heat Flow Equation: Computing Geodesics in Real-Time with Convergence Guarantees
Samuel G. Gessow, Brett T. Lopez
https://arxiv.org/abs/2510.11692 http…

Analysis of the Geometric Heat Flow Equation: Computing Geodesics in Real-Time with Convergence Guarantees
We present an analysis on the convergence properties of the so-called geometric heat flow equation for computing geodesics (shortest-path~curves) on Riemannian manifolds. Computing geodesics numerically in real-time has become an important capability in several fields, including control and motion planning. The geometric heat flow equation involves solving a parabolic partial differential equation whose solution is a geodesic. In practice, solving this PDE numerically can be done efficiently, a…

Weekend Reads
* Cloud flow logs for security
https://www.sei.cmu.edu/blog/enhancing-security-with-cloud-flow-logs/
* Supply chain compromises retrospective

Enhancing Security with Cloud Flow Logs
The SEI has a history of support for flow log analysis, including its 2025 releases (for Azure or AWS) of open-source scripts to facilitate cloud flow log analysis. This blog explores challenges with correlating events across multiple CSPs.

Existence of martingale solutions for a stochastic weighted mean curvature flow of graphs
Qi Yan, Xiang-Dong Li
https://arxiv.org/abs/2510.09383 https://ar…

Existence of martingale solutions for a stochastic weighted mean curvature flow of graphs
We are concerned with a stochastic mean curvature flow of graphs with extra force over a periodic domain of any dimension. Based on compact embedding method of variational SPDE, we prove the existence of martingale solution. Moreover, we derive the small perturbation limit of the stochastic weighted mean curvature flow.

State-Dependent X-ray Variability in Cygnus X-1: A 12-Year NuSTAR Timing Study of Accretion Flow Geometry
Kshitij Duraphe, Kartik Mandar, Chooda Khanal, Abha Pareek, Tejaswi Kondhiya, V Sree Suswara, Deeksha Dinesh, Vidyasagar Bhat, Gopal Bhatta
https://arxiv.org/abs/2510.10746

State-Dependent X-ray Variability in Cygnus X-1: A 12-Year NuSTAR Timing Study of Accretion Flow Geometry
We present a comprehensive timing analysis of the black hole X-ray binary Cygnus X-1 using 26 NuSTAR observations spanning 2012-2024, providing the most detailed characterization to date of its accretion flow variability across spectral states. Our analysis reveals fundamental insights into the physics governing state transitions in stellar-mass black holes. We discover distinct bimodal flux distributions in the 8-79 keV band with well-separated peaks, contrasting with overlapping distributions…

Islands in Simulated Cosmos: Probing the Hubble Flow around Groups and Clusters
David Benisty, Antonino Del Popolo
https://arxiv.org/abs/2510.11382 https://

Islands in Simulated Cosmos: Probing the Hubble Flow around Groups and Clusters
The local Hubble flow offers a powerful laboratory to study the interplay between cosmic expansion and gravitational dynamics. On large scales, galaxy velocities follow Hubble's law, but within groups and clusters local gravitational effects introduce significant departures from linearity. Using the IllustrisTNG cosmological simulations, we investigate whether dark energy leaves detectable imprints on the local velocity-radius relation. We model the kinematics with extensions of the Lemaitre-To…

Dipole Alignment and Layered Flow Structure in Pressure-Driven Water Transport through MoS$_{2}$ Membranes
Jo\~ao Victor Lemos Vale, Lucas Cesena, Bruno H. S. Mendon\c{c}a, Elizane E. de Moraes
https://arxiv.org/abs/2510.09789

Dipole Alignment and Layered Flow Structure in Pressure-Driven Water Transport through MoS$_{2}$ Membranes
Efficient water transport through nanostructure membranes is essential for advancing filtration and desalination technologies. In this study, we investigate the flow of water through molybdenum disulfide (MoS$_{2}$) nanopores of varying diameters using molecular dynamics simulations. The results demonstrate that both pore size and atomic edge composition play crucial roles in regulating water flux, molecular organization, and dipole orientation. Larger pores facilitate the formation of layered …

Free to Move: Reachability Types with Flow-Sensitive Effects for Safe Deallocation and Ownership Transfer
Haotian Deng, Siyuan He, Songlin Jia, Yuyan Bao, Tiark Rompf
https://arxiv.org/abs/2510.08939

Free to Move: Reachability Types with Flow-Sensitive Effects for Safe Deallocation and Ownership Transfer
We present a flow-sensitive effect system for reachability types that supports explicit memory management, including Rust-style move semantics, in higher-order impure functional languages. Our system refines the existing reachability qualifier with polymorphic \emph{use} and \emph{kill} effects that record how references are read, written, transferred, and deallocated. The effect discipline tracks operations performed on each resource using qualifiers, enabling the type system to express owners…

Photo-$z$ Estimation with Normalizing Flow
Yiming Ren, Kwan Chuen Chan, Le Zhang, Yin Li, Haolin Zhang, Ruiyu Song, Yan Gong, Xian-Min Meng, Xingchen Zhou
https://arxiv.org/abs/2510.10032

Photo-$z$ Estimation with Normalizing Flow
Accurate photometric redshift (photo-$z$) estimation is a key challenge in cosmology, as uncertainties in photo-$z$ directly limit the scientific return of large-scale structure and weak lensing studies, especially in upcoming Stage IV surveys. The problem is particularly severe for faint galaxies with sparse spectroscopic training data. In this work, we introduce nflow-$z$, a novel photo-$z$ estimation method using the powerful machine learning technique of normalizing flow (NF). nflow-$z$ exp…

Hu? Ich wollte ja nur kurz vor den Abend-Nachrichten kurz checken, wie ich eine uralte Website von mir in die heutige Zeit heben könnte.
Und jetzt ist es 02:00?!? 😦
#Flow #Konzentration #RabbitHole…

Next Interest Flow: A Generative Pre-training Paradigm for Recommender Systems by Modeling All-domain Movelines
Chen Gao, Zixin Zhao, Lv Shao, Tong Liu
https://arxiv.org/abs/2510.11317

Next Interest Flow: A Generative Pre-training Paradigm for Recommender Systems by Modeling All-domain Movelines
Click-Through Rate (CTR) prediction, a cornerstone of modern recommender systems, has been dominated by discriminative models that react to past user behavior rather than proactively modeling user intent. Existing generative paradigms attempt to address this but suffer from critical limitations: Large Language Model (LLM) based methods create a semantic mismatch by forcing e-commerce signals into a linguistic space, while ID-based generation is constrained by item memorization and cold-start is…

Dynamic Line Ratings in AC Optimal Power Flow: Transient Temperature, Decomposition, and Large-scale Evaluation
Baptiste Rabecq, Thomas Lee, Andy Sun
https://arxiv.org/abs/2510.10832

Dynamic Line Ratings in AC Optimal Power Flow: Transient Temperature, Decomposition, and Large-scale Evaluation
As power grids experience increasing renewable penetration and rapid load growth from AI data centers and electrification, alleviating line congestion becomes critical to unlocking additional grid capacity. This work investigates Dynamic Line Rating (DLR), a congestion mitigation method that adjusts power line current limits in response to meteorological conditions. Unlike traditional approaches that impose predefined time-varying limits, we propose a novel optimization framework that embeds th…

blissed in the rain after natural information society at roulette, including john coltrane's "naima" (which didn't quite register) & the new "perseverance flow," sounding like slowed electronic music at start (dropouts, ring modulator-y squelches) & made me wanna hear NIS & josh abrams' guimbri in dub. #jazz

How modern media consumption is converging toward a continuous flow of episodic video, across streaming providers, podcasts, and social media apps (Derek Thompson)
https://www.derekthompson.org/p/why-everything-became-television

Everything Is Television
A theory of culture and attention

Conditional Flow Matching for Bayesian Posterior Inference
So Won Jeong, Percy S. Zhai, Veronika Ro\v{c}ov\'a
https://arxiv.org/abs/2510.09534 https://…

Conditional Flow Matching for Bayesian Posterior Inference
We propose a generative multivariate posterior sampler via flow matching. It offers a simple training objective, and does not require access to likelihood evaluation. The method learns a dynamic, block-triangular velocity field in the joint space of data and parameters, which results in a deterministic transport map from a source distribution to the desired posterior. The inverse map, named vector rank, is accessible by reversibly integrating the velocity over time. It is advantageous to levera…

I decided to support something for which the only support mechanism is "buymeacoffee" with a monthly donation — so I created a login at buymeacoffee, and now it won't let me go any further without creating a page with my photo, name, link, and a short essay to "Explain how contributions can make a difference in your work" and just no! All I want to do is set up a small monthly donation and be able to manage that in the future!
This isn't hard on liberapay or patreon or…

Eingesetzte #Batterietechnologien für #Stromspeicher in #Deutschland mit Stand vom 10.10.2025.
Betrachtet werden Datensätze mit Betriebsstatus „aktiv“ und vorhandenem Inbetr…

Impact of Wind Direction on Flow Over a Realistic Urban Area: A Large-Eddy Simulation Study
Ivette Rodr\'iguez, Josep Maria Dur\'o, Ernest Mestres, Ming Teng, Oriol Lehmkuhl
https://arxiv.org/abs/2510.11247

Impact of Wind Direction on Flow Over a Realistic Urban Area: A Large-Eddy Simulation Study
We conducted high-resolution large-eddy simulations over a real urban district in Barcelona to examine the impact of wind direction on near-ground flow. The computational mesh resolves over 500 million degrees of freedom, with a spatial resolution on the order of 1 m at pedestrian level. This allows a detailed analysis of mean velocity and turbulence patterns within the canopy layer. Although instantaneous flow fields differ significantly between cases, double-averaged profiles of velocity and …

Yellow composite flowers near the creek on the downstream side of Monkey Run
#photo #photography #flowers #bloomscrolling

An Invitation to Obstruction Bundle Gluing Through Morse Flow Lines
Ipsita Datta, Yuan Yao
https://arxiv.org/abs/2510.10393 https://arxiv.org/pdf/2510.1039…

An Invitation to Obstruction Bundle Gluing Through Morse Flow Lines
We adapt "Obstruction Bundle Gluing (OBG)" techniques from Hutchings and Taubes (arxiv: 0701300, 0705.2074) to Morse theory. We consider Morse function-metric pairs with gradient flowlines that have nontrivial yet well-controlled cokernels (i.e., the gradient flowlines are not transversely cut out). We investigate (i) whether these nontransverse gradient flowlines can be glued to other gradient flowlines and (ii) the bifurcation of gradient flowlines after we perturb the metric to be Morse-Smal…

at_migrations: Austrian internal migrations (2002-2022)
A network of migrations between municipalities in Austria, from 2002 to 2022. A weighted directed link from source to target indicates a migration flow from these two municipalities. Edges are annotated with migration volume (number of people), nationality, sex, and year.
This network has 2115 nodes and 2908569 edges.
Tags: Social, Economic, Travel, Weighted, Politlcal, Timestamps, Metadata

Mean curvature flow converging to an minimizing cone and its Hardt-Simon foliation
Jiuzhou Huang
https://arxiv.org/abs/2510.11430 https://arxiv.org/pdf/251…

Mean curvature flow converging to an minimizing cone and its Hardt-Simon foliation
In this paper, we construct a family of mean curvature flow which converges to an area minimizing, strictly stable hypercone $\mC$ after type I rescaling, and converges to the Hardt-Simon foliation of the cone after a type II rescaling provided the cone satisfies some technique conditions. The difference from Velázquez's previous results is that we drop the symmetry condition on the cone.

The way android aggressively kills background apps had basically made my phone unusable. I can't buy things on my phone, because by the time I've authorised the purchase in the banking app, the browser window has been killed and the transaction reset. I can't log into websites on my phone, because by the time I've got the one time code from my email, the browser window has been killed and the login flow reset.

Basis for a hands free blood flow measurement with automated vessel focus
Reinhard Fuchs, Nathalie Sumrah, Johannes Schwerdt, Michael Unger, Georg Stachel, Michael Schultz, Karsten Lenk, Thomas Neumuth
https://arxiv.org/abs/2510.11060

Basis for a hands free blood flow measurement with automated vessel focus
Cardiopulmonary resuscitation (CPR) is one of the essential tools to ensure oxygen supply during cardiac arrest. However, the precise effects of chest compression are not quantifiable to this day. This often results in a low quality of chest compressions even if performed by health-care professionals. One solution could be provided by quantification of blood flow via ultrasonic Doppler measurements, to guide first responders in their efforts. This paper presents an approach to address the issue…

The foundational value of quantum computing for classical fluids
Sauro Succi, Claudio Sanavio, Peter Love
https://arxiv.org/abs/2510.09178 https://arxiv.or…

The foundational value of quantum computing for classical fluids
Quantum algorithms for classical physics problems expose new patterns of quantum information flow as compared to the many-body Schrödinger equation. As a result, besides their potential practical applications, they also offer a valuable theoretical and computational framework to elucidate the foundations of quantum mechanics, particularly the validity of the many-body Schrödinger equation in the limit of large number of particles, on the order of the Avogadro number. This idea is illustrated …

TraceAegis: Securing LLM-Based Agents via Hierarchical and Behavioral Anomaly Detection
Jiahao Liu, Bonan Ruan, Xianglin Yang, Zhiwei Lin, Yan Liu, Yang Wang, Tao Wei, Zhenkai Liang
https://arxiv.org/abs/2510.11203

TraceAegis: Securing LLM-Based Agents via Hierarchical and Behavioral Anomaly Detection
LLM-based agents have demonstrated promising adaptability in real-world applications. However, these agents remain vulnerable to a wide range of attacks, such as tool poisoning and malicious instructions, that compromise their execution flow and can lead to serious consequences like data breaches and financial loss. Existing studies typically attempt to mitigate such anomalies by predefining specific rules and enforcing them at runtime to enhance safety. Yet, designing comprehensive rules is di…

An investigation into the combined effect of steady and pulsatile flow within a wavy channel filled with an anisotropic porous medium
Sanchita Pramanik, Timir Karmakar
https://arxiv.org/abs/2510.08729 …

An investigation into the combined effect of steady and pulsatile flow within a wavy channel filled with an anisotropic porous medium
We provide an analytical solution to examine the impact of steady and pulsatile flow in a symmetric wavy channel filled with an anisotropic porous medium. The flow inside the wavy channel with a porous substrate is governed by the Darcy-Brinkman equation. We used the perturbation approach to ascertain the solution to the problem, assuming that the ratio between the channel width and the wavelength is very small (i.e., $δ^2 \ll 1$). We solved the problem up to $O(δ^2)$ by assuming $λ^2 δ^2 \…

Bridging Semantics & Structure for Software Vulnerability Detection using Hybrid Network Models
Jugal Gajjar, Kaustik Ranaware, Kamalasankari Subramaniakuppusamy
https://arxiv.org/abs/2510.10321

Bridging Semantics & Structure for Software Vulnerability Detection using Hybrid Network Models
Software vulnerabilities remain a persistent risk, yet static and dynamic analyses often overlook structural dependencies that shape insecure behaviors. Viewing programs as heterogeneous graphs, we capture control- and data-flow relations as complex interaction networks. Our hybrid framework combines these graph representations with light-weight (<4B) local LLMs, uniting topological features with semantic reasoning while avoiding the cost and privacy concerns of large cloud models. Evaluated on…

Geometry-aware Policy Imitation
Yiming Li, Nael Darwiche, Amirreza Razmjoo, Sichao Liu, Yilun Du, Auke Ijspeert, Sylvain Calinon
https://arxiv.org/abs/2510.08787 https://…

Geometry-aware Policy Imitation
We propose a Geometry-aware Policy Imitation (GPI) approach that rethinks imitation learning by treating demonstrations as geometric curves rather than collections of state-action samples. From these curves, GPI derives distance fields that give rise to two complementary control primitives: a progression flow that advances along expert trajectories and an attraction flow that corrects deviations. Their combination defines a controllable, non-parametric vector field that directly guides robot be…

Nowhere-zero flows on signed supereulerian graphs
Chao Wen, Qiang Sun, Chao Zhang
https://arxiv.org/abs/2510.08192 https://arxiv.org/pdf/2510.08192

Nowhere-zero flows on signed supereulerian graphs
In 1983, Bouchet conjectured that every flow-admissible signed graph admits a nowhere-zero 6-flow. We verify this conjecture for the class of flow-admissible signed graphs possessing a spanning even Eulerian subgraph, which includes as a special case all signed graphs with a balanced Hamiltonian circuit. Furthermore, we show that this result is sharp by citing a known infinite family of signed graphs with a balanced Hamiltonian circuit that do not admit a nowhere-zero 5-flow. Our proof relies o…

BrainForm: a Serious Game for BCI Training and Data Collection
Michele Romani, Devis Zanoni, Elisabetta Farella, Luca Turchet
https://arxiv.org/abs/2510.10169 https://

BrainForm: a Serious Game for BCI Training and Data Collection
$\textit{BrainForm}$ is a gamified Brain-Computer Interface (BCI) training system designed for scalable data collection using consumer hardware and a minimal setup. We investigated (1) how users develop BCI control skills across repeated sessions and (2) perceptual and performance effects of two visual stimulation textures. Game Experience Questionnaire (GEQ) scores for Flow}, Positive Affect, Competence and Challenge were strongly positive, indicating sustained engagement. A within-subject stu…

A family of three maximally symmetric boost-invariant flows in relativistic hydrodynamics
Sa\v{s}o Grozdanov
https://arxiv.org/abs/2510.10769 https://arxiv…

A family of three maximally symmetric boost-invariant flows in relativistic hydrodynamics
I discuss the constructions of boost-invariant dissipative conformal hydrodynamic flows by elaborating on the geometric procedure by Gubser and Yarom, which starts from a static, maximally symmetric flow on dS$_3\times\mathbb{R}$. Three foliations of dS$_3$ preserve three-dimensional non-Abelian isometry groups, namely, the flat ISO(2)-invariant, the spherical (closed) SO(3)-invariant, and the hyperbolic (open) SO(2,1)-invariant slicings. I show that the fluids that preserve these symmetries, a…

🇺🇦 #NowPlaying on #BBC6Music's #HuwStephens
Queens of the Stone Age:
🎵 Go With The Flow
#QueensoftheStoneAge
https://koopah.bandcamp.com/track/queens-of-the-stone-age-go-with-the-flow-koopah-drumstep-remix
https://open.spotify.com/track/0wzRcekWyVCSyPtlPOeJau

Optimal Multi-Modal Transportation and Electric Power Flow: The Value of Coordinated Dynamic Operation
Jiajie Qiu, Dakota Thompson, Kamal Youcef-Toumi, Amro M. Farid
https://arxiv.org/abs/2510.10914

Optimal Multi-Modal Transportation and Electric Power Flow: The Value of Coordinated Dynamic Operation
The electrification of transportation represents a critical challenge in the global transition toward net-zero emissions, as the sector often accounts for more than one-quarter of national energy consumption. Achieving this transformation requires not only widespread adoption of electric vehicles (EVs) but also their seamless integration into interdependent infrastructure systems-specifically, the transportation-electricity nexus (TEN). This paper develops an optimal multi-modal transportation …

SAM2-3dMed: Empowering SAM2 for 3D Medical Image Segmentation
Yeqing Yang, Le Xu, Lixia Tian
https://arxiv.org/abs/2510.08967 https://arxiv.org/pdf/2510.08…

SAM2-3dMed: Empowering SAM2 for 3D Medical Image Segmentation
Accurate segmentation of 3D medical images is critical for clinical applications like disease assessment and treatment planning. While the Segment Anything Model 2 (SAM2) has shown remarkable success in video object segmentation by leveraging temporal cues, its direct application to 3D medical images faces two fundamental domain gaps: 1) the bidirectional anatomical continuity between slices contrasts sharply with the unidirectional temporal flow in videos, and 2) precise boundary delineation, …

Replaced article(s) found for hep-ph. https://arxiv.org/list/hep-ph/new
[1/2]:
- Simple Gradient Flow Equation for the Bounce Solution
Ryosuke Sato
https://

Regularity Theory for the Space Homogeneous Polyatomic Boltzmann Flow
Ricardo Alonso, Milana \v{C}oli\'c
https://arxiv.org/abs/2510.10523 https://arxiv…

Regularity Theory for the Space Homogeneous Polyatomic Boltzmann Flow
In this paper, we study the polyatomic Boltzmann equation based on continuous internal energy, focusing on physically relevant collision kernels of the hard potentials type with integrable angular part. We establish three main results: smoothing effects of the gain collision operator, propagation of velocity and internal energy first-order derivatives of solutions, and exponential decay estimates for singularities of the initial data. These results ultimately lead to a decomposition theorem, sh…

Flow Coupling Alters Topological Phase Transition in Nematic Liquid Crystals
Jayeeta Chattopadhyay, Simon Guldager Andersen, Kristian Thijssen, Amin Doostmohammadi
https://arxiv.org/abs/2510.08282

Flow Coupling Alters Topological Phase Transition in Nematic Liquid Crystals
We investigate how coupling to fluid flow influences defect-mediated transitions in two-dimensional passive nematic fluids using fluctuating nematohydrodynamic simulations. The system is driven by tuning the fluctuation strength, with increasing (decreasing) fluctuations defining the forward (backward) protocol. In the absence of flow coupling, the transition follows the Berezinskii--Kosterlitz--Thouless (BKT) scenario, governed by reversible binding and unbinding of $\pm 1/2$ defect pairs. Whe…

Replaced article(s) found for math.NA. https://arxiv.org/list/math.NA/new
[2/2]:
- Clean numerical simulation (CNS) of three-dimensional turbulent Kolmogorov flow
Shijie Qin, Shijun Liao

Preserving Core Structures of Social Networks via Information Guided Multi-Step Graph Pruning
Yutong Hu, Bingxin Zhou, Jing Wang, Weishu Zhao, Liang Hong
https://arxiv.org/abs/2510.10499

Preserving Core Structures of Social Networks via Information Guided Multi-Step Graph Pruning
Social networks often contain dense and overlapping connections that obscure their essential interaction patterns, making analysis and interpretation challenging. Identifying the structural backbone of such networks is crucial for understanding community organization, information flow, and functional relationships. This study introduces a multi-step network pruning framework that leverages principles from information theory to balance structural complexity and task-relevant information. The fra…

Invariant sets for the wind-tree model
Yuriy Tumarkin
https://arxiv.org/abs/2510.10760 https://arxiv.org/pdf/2510.10760

Invariant sets for the wind-tree model
We consider the wind-tree model, a $\mathbb{Z}^2$ - periodic billiard. In the case when the underlying compact translation surface lies on a periodic orbit of the Teichmüller geodesic flow, and at least one of the two homology classes defining the $\mathbb{Z}^2$ - cover is unstable for the Kontsevich-Zorich cocycle, we prove that every orbit closure of the billiard has Hausdorff dimension strictly smaller than 2. The proof relies on a construction of explicit invariant functions, which along t…

Sensitivity dependence of the Navier-Stokes turbulence of a two-dimensional Rayleigh-B\'{e}nard convection on time-step
Shijie Qin, Kun Xu, Shijun Liao
https://arxiv.org/abs/2510.11220

Sensitivity dependence of the Navier-Stokes turbulence of a two-dimensional Rayleigh-Bénard convection on time-step
A two-dimensional Rayleigh-Bénard convection governed by the Navier-Stokes (NS) equations is solved by traditional direct numerical simulation (DNS) using double precision and various time-steps. It is found that there are two kinds of final flow types, one is vortical flow, the other is zonal flow, and their statistics are completely different. Especially, the two flow types frequently alternate as the time-step decreases to a very small value, suggesting that the time-step corresponding to e…

Real-Time Rendering of Dynamic Line Sets using Voxel Ray Tracing
Bram Kraaijeveld, Andrei C. Jalba, Anna Vilanova, Maxime Chamberland
https://arxiv.org/abs/2510.09081 https://…

Real-Time Rendering of Dynamic Line Sets using Voxel Ray Tracing
Real-time rendering of dynamic line sets is relevant in many visualization tasks, including unsteady flow visualization and interactive white matter reconstruction from Magnetic Resonance Imaging. High-quality global illumination and transparency are important for conveying the spatial structure of dense line sets, yet remain difficult to achieve at interactive rates. We propose an efficient voxel-based ray-tracing framework for rendering large dynamic line sets with ambient occlusion and groun…

⭐ The Simple Habit That Saves My Evenings | alikhil | software engineering, kubernetes & self-hosting
https://alikhil.dev/posts/the-simple-habit-that-saves-my-evenings/
Spoiler alert:
Here are the two main ideas of it:
* Don’t overwork
*…

Canalized hyperbolic magnetoexciton polaritons by Shubnikov-de Haas effect in van der Waals semiconductors
Guangyi Jia, Qizhe Cai, Chunqi Zheng, Xiaoying Zhou, Cheng-Wei Qiu
https://arxiv.org/abs/2510.11163

Canalized hyperbolic magnetoexciton polaritons by Shubnikov-de Haas effect in van der Waals semiconductors
Polariton canalization exhibits highly collimated and diffraction-free propagation characteristics in natural hyperbolic materials, holding great promise for molding the energy flow at nanoscale. Previously, the majority of canalizations are realized in phonon polaritons. Herein, we theoretically explore hyperbolic magnetoexciton polaritons (HMEPs) in van der Waals crystals of WTe2, MoS2, and phosphorene. Based on the Shubnikov-de Haas effect, canalized HMEPs with ultralow group velocity (~10-5…

Weight Initialization and Variance Dynamics in Deep Neural Networks and Large Language Models
Yankun Han
https://arxiv.org/abs/2510.09423 https://arxiv.org…

Weight Initialization and Variance Dynamics in Deep Neural Networks and Large Language Models
Weight initialization governs signal propagation and gradient flow at the start of training. This paper offers a theory-grounded and empirically validated study across two regimes: compact ReLU multilayer perceptrons and GPT-2-style transformers. First, a logarithmic sweep of the initial standard deviation maps vanishing and exploding regimes and identifies a broad stability band with standard deviations between 1e-2 and 1e-1. Second, a controlled comparison shows that Kaiming (fan-in) initiali…

Replaced article(s) found for q-bio.BM. https://arxiv.org/list/q-bio.BM/new
[1/1]:
- RiboFlow: Conditional De Novo RNA Co-Design via Synergistic Flow Matching
Runze Ma, Zhongyue Zhang, Zichen Wang, Chenqing Hua, Jiahua Rao, Zhuomin Zhou, Shuangjia Zheng

How modern media consumption is converging toward a continuous flow of episodic video, across streaming providers, podcasts, and social media apps (Derek Thompson)
https://www.derekthompson.org/p/why-everything-became-television

Everything Is Television
A theory of culture and attention

A Deterministic Limit Order Book Simulator with Hawkes-Driven Order Flow
Sohaib El Karmi
https://arxiv.org/abs/2510.08085 https://arxiv.org/pdf/2510.08085

A Deterministic Limit Order Book Simulator with Hawkes-Driven Order Flow
We present a reproducible research framework for market microstructure combining a deterministic C++ limit order book (LOB) simulator with stochastic order flow generated by multivariate marked Hawkes processes. The paper derives full stability and ergodicity proofs for both linear and nonlinear Hawkes models, implements time-rescaling and goodness-of-fit diagnostics, and calibrates exponential and power-law kernels on Binance BTCUSDT and LOBSTER AAPL datasets. Empirical results highlight the n…

un_migrations: UN migration stock (2015)
A network of migration between countries, collected by the United Nations. A directed edge gives the flow of migration, and an edge property gives the number of migrants, for each given year and sex. Estimates are presented for 1990, 1995, 2000, 2005, 2010 and 2015 and are available for all countries and areas of the world. The estimates are based on official statistics on the foreign-born or the foreign population.
This network has 232 no…

How hard is it to bend a 20 gauge (blunt) needle without crimping it and inhibiting fluid flow?
I'm trying to get a coating onto the underside of a surface inside a trench (so get the needle into the hole and squirt up onto the back of it). Found some 45-degree needles on amazon but they'll take a couple days to get here.
What are my odds of success if I try to just bend a straight one?

Marked Poincar\'e rigidity near hyperbolic metrics and injectivity of the Lichnerowicz Laplacian in dimension 3
Karen Butt, Alena Erchenko, Tristan Humbert, Thibault Lefeuvre, Amie Wilkinson
https://arxiv.org/abs/2510.11399

Marked Poincaré rigidity near hyperbolic metrics and injectivity of the Lichnerowicz Laplacian in dimension 3
Let $M$ be a compact manifold without boundary equipped with a Riemannian metric $g$ of negative curvature. In this paper, we introduce the marked Poincaré determinant (MPD), a homothety invariant of $g$ depending on differentiable periodic data of its geodesic flow. The MPD associates to each free homotopy class of closed curves in $M$ a number which measures the unstable volume expansion of the geodesic flow along the associated closed geodesic. We prove a local MPD rigidity result in dimens…

A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake
Alberto Solera-Rico, Carlos Sanmiguel Vila, Stefano Discetti
https://arxiv.org/abs/2510.11600

A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake
We present an efficient and realisable active flow control framework with few non-intrusive sensors. The method builds upon data-driven, reduced-order predictive models based on Long-Short-Term Memory (LSTM) networks and efficient gradient-based Model Predictive Control (MPC). The model uses only surface-mounted pressure probes to infer the wake state, and is trained entirely offline on a dataset built with open-loop actuations, thus avoiding the complexities of online learning. Sparsification …

FlowSearch: Advancing deep research with dynamic structured knowledge flow
Yusong Hu, Runmin Ma, Yue Fan, Jinxin Shi, Zongsheng Cao, Yuhao Zhou, Jiakang Yuan, Xiangchao Yan, Wenlong Zhang, Lei Bai, Bo Zhang
https://arxiv.org/abs/2510.08521

FlowSearch: Advancing deep research with dynamic structured knowledge flow
Deep research is an inherently challenging task that demands both breadth and depth of thinking. It involves navigating diverse knowledge spaces and reasoning over complex, multi-step dependencies, which presents substantial challenges for agentic systems. To address this, we propose FlowSearch, a multi-agent framework that actively constructs and evolves a dynamic structured knowledge flow to drive subtask execution and reasoning. FlowSearch is capable of strategically planning and expanding t…

Global-in-time Discontinuous Solutions for the Two-Phase Model of Compressible Fluids with Density-Dependent Viscosity
Marcel Zodji
https://arxiv.org/abs/2510.11383 https://

Global-in-time Discontinuous Solutions for the Two-Phase Model of Compressible Fluids with Density-Dependent Viscosity
We are concerned with a model describing the motion of two compressible, immiscible fluids with density-dependent viscosity in the whole $\mathbb R^3$. The phases of the flow may have different pressure and viscosity laws and are separated by a sharp interface, across which the (total) density is discontinuous. Our goal is to study the persistence of the regularity of this sharp interface over time. More precisely, the dynamics of the flow are governed by three coupled equations: two hyperbolic…

Wavefunction Flows: Efficient Quantum Simulation of Continuous Flow Models
David Layden, Ryan Sweke, Vojt\v{e}ch Havl\'i\v{c}ek, Anirban Chowdhury, Kirill Neklyudov
https://arxiv.org/abs/2510.08462

Wavefunction Flows: Efficient Quantum Simulation of Continuous Flow Models
Flow models are a cornerstone of modern machine learning. They are generative models that progressively transform probability distributions according to learned dynamics. Specifically, they learn a continuous-time Markov process that efficiently maps samples from a simple source distribution into samples from a complex target distribution. We show that these models are naturally related to the Schrödinger equation, for an unusual Hamiltonian on continuous variables. Moreover, we prove that the…

Homogenization-based optimization of wall thickness distribution for TPMS two-fluid heat exchangers
Kaito Ohtani, Hiroki Kawabe, Kentaro Yaji, Kikuo Fujita, Vikrant Aute
https://arxiv.org/abs/2510.10622

Homogenization-based optimization of wall thickness distribution for TPMS two-fluid heat exchangers
Triply Periodic Minimal Surface (TPMS) structures are attracting growing attention as promising geometries for next-generation high-performance heat exchangers (HXs), due to their continuous flow paths and high surface-area-to-volume ratio that enhance heat transfer performance. Among these, graded TPMS structures with spatially varying thickness have emerged as a potential means to further improve performance. This study proposes an optimization method of wall thickness distribution for TPMS H…

An Eulerian Perspective on Straight-Line Sampling
Panos Tsimpos, Youssef Marzouk
https://arxiv.org/abs/2510.11657 https://arxiv.org/pdf/2510.11657

An Eulerian Perspective on Straight-Line Sampling
We study dynamic measure transport for generative modeling: specifically, flows induced by stochastic processes that bridge a specified source and target distribution. The conditional expectation of the process' velocity defines an ODE whose flow map achieves the desired transport. We ask \emph{which processes produce straight-line flows} -- i.e., flows whose pointwise acceleration vanishes and thus are exactly integrable with a first-order method? We provide a concise PDE characterization of s…

Understanding the Influence of Rheological Properties of Shear-Thinning Liquids on Segmented Flow in Microchannel using CLSVOF Based CFD Model
Somasekhara Goud Sontti, Pankaj G. Pallewar, Amritendu Bhuson Ghosh, Arnab Atta
https://arxiv.org/abs/2510.08651

Understanding the Influence of Rheological Properties of Shear-Thinning Liquids on Segmented Flow in Microchannel using CLSVOF Based CFD Model
In this study, two phase gas-shear-thinning liquid flow in a square microchannel is numerically investigated using the coupled level set and volume of fluid (CLSVOF) methods. A systematic investigation is carried out to explore the influence of polyacrylamide (PAM) concentration, surface tension, velocity ratios, and contact angle on the gas slug length, volume, unit cell length, and pressure drop. Three different concentrations of PAM solutions, which exhibit shear-thinning behaviour are consi…

Failure Prediction at Runtime for Generative Robot Policies
Ralf R\"omer, Adrian Kobras, Luca Worbis, Angela P. Schoellig
https://arxiv.org/abs/2510.09459 https://

Failure Prediction at Runtime for Generative Robot Policies
Imitation learning (IL) with generative models, such as diffusion and flow matching, has enabled robots to perform complex, long-horizon tasks. However, distribution shifts from unseen environments or compounding action errors can still cause unpredictable and unsafe behavior, leading to task failure. Early failure prediction during runtime is therefore essential for deploying robots in human-centered and safety-critical environments. We propose FIPER, a general framework for Failure Prediction…

Electromagnetic Observables of Weakly Collisional Black Hole Accretion
Vedant Dhruv, Ben Prather, Mani Chandra, Abhishek V. Joshi, Charles F. Gammie
https://arxiv.org/abs/2510.11365

Electromagnetic Observables of Weakly Collisional Black Hole Accretion
The black holes in the Event Horizon Telescope sources Messier 87* and Sagittarius A* (SgrA*) are embedded in a hot, collisionless plasma that is fully described in kinetic theory yet is usually modeled as an ideal, magnetized fluid. In this Letter, we present results from a new set of weakly collisional fluid simulations in which leading order kinetic effects are modeled as viscosity and heat conduction. Consistent with earlier, lower-resolution studies, we find that overall flow dynamics rema…

Typestate via Revocable Capabilities
Songlin Jia, Craig Liu, Siyuan He, Haotian Deng, Yuyan Bao, Tiark Rompf
https://arxiv.org/abs/2510.08889 https://arxiv…

Typestate via Revocable Capabilities
Managing stateful resources safely and expressively is a longstanding challenge in programming languages, especially in the presence of aliasing. While scope-based constructs such as Java's synchronized blocks offer ease of reasoning, they restrict expressiveness and parallelism. Conversely, imperative, flow-sensitive management enables fine-grained control but demands sophisticated typestate analyses and often burdens programmers with explicit state tracking. In this work, we present a novel…

Thin-film flows of granular suspensions on a solid surface
Alice Pelosse, Elisabeth Guazzelli, Matthieu Roch\'e
https://arxiv.org/abs/2510.11127 https://

Thin-film flows of granular suspensions on a solid surface
This review article examines the complex dynamics of thin-film flows of granular suspensions spreading over rigid solid substrates with free air interfaces. Such systems feature an involved coupling of the free-surface dynamics with the flow and microstructure of the suspension. In particular, we develop two canonical thin-film situations: drop spreading and dip-coating. In drop spreading, confinement of the particulate phase near the advancing contact line alters both the spreading rate and th…

Source: Anthropic projects revenues of up to $70B in 2028, up from ~$5B in 2025, and expects to become cash flow positive as soon as 2027 (Sri Muppidi/The Information)
https://www.theinformation.com/articles/anthropic-projects-70-billio…

Anthropic Projects $70 Billion in Revenue, $17 Billion in Cash Flow in 2028
Anthropic this summer hiked its most optimistic growth forecasts by roughly 13% to 28% over the next three years and projected generating as much as $70 billion in revenue in 2028, up from close to $5 billion this year, according to a person with knowledge of the company’s financials. The ...

Flow Matching for Conditional MRI-CT and CBCT-CT Image Synthesis
Arnela Hadzic, Simon Johannes Joham, Martin Urschler
https://arxiv.org/abs/2510.04823 https://

Flow Matching for Conditional MRI-CT and CBCT-CT Image Synthesis
Generating synthetic CT (sCT) from MRI or CBCT plays a crucial role in enabling MRI-only and CBCT-based adaptive radiotherapy, improving treatment precision while reducing patient radiation exposure. To address this task, we adopt a fully 3D Flow Matching (FM) framework, motivated by recent work demonstrating FM's efficiency in producing high-quality images. In our approach, a Gaussian noise volume is transformed into an sCT image by integrating a learned FM velocity field, conditioned on featu…

MODE: Learning compositional representations of complex systems with Mixtures Of Dynamical Experts
Nathan Quiblier, Roy Friedman, Matthew Ricci
https://arxiv.org/abs/2510.09594 …

MODE: Learning compositional representations of complex systems with Mixtures Of Dynamical Experts
Dynamical systems in the life sciences are often composed of complex mixtures of overlapping behavioral regimes. Cellular subpopulations may shift from cycling to equilibrium dynamics or branch towards different developmental fates. The transitions between these regimes can appear noisy and irregular, posing a serious challenge to traditional, flow-based modeling techniques which assume locally smooth dynamics. To address this challenge, we propose MODE (Mixture Of Dynamical Experts), a graphic…

On the universal content of the proper time flow in scalar and Yang-Mills theories
Gabriele Giacometti, Daniele Rizzo, Dario Zappala
https://arxiv.org/abs/2510.04896 https://

On the universal content of the proper time flow in scalar and Yang-Mills theories
We investigate the perturbative structure of the proper time renormalization group flow in scalar and Yang-Mills theories. Although the PT flow does not belong to the class of exact functional renormalization group equations, we show that it correctly reproduces the universal coefficients of the $β$-functions at one and two loops. For the ${\rm O(N)}$ scalar theory, we derive the one- and two-loop contributions to the running quartic coupling and also confirm the expected anomalous dimension. …

Nowhere-zero 5-flow on signed ladders
Leila Parsaei-Majd
https://arxiv.org/abs/2510.01716 https://arxiv.org/pdf/2510.01716…

Nowhere-zero 5-flow on signed ladders
In 1983, Bouchet conjectured that every flow-admissible signed graph admits a nowhere-zero $6$-flow. In this paper, we prove that Bouchet's conjecture holds for all signed ladders, circular and Möbius ladders. In fact, all signed ladders, circular and Möbius ladders admit a nowhere-zero $5$-flow except for one case of signed circular ladders. Of course, the exception also has a nowhere-zero $6$-flow.

Branching Flows: Discrete, Continuous, and Manifold Flow Matching with Splits and Deletions
Hedwig Nora Nordlinder (Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet), Lukas Billera (Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet), Jack Collier Ryder (Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet), Anton Oresten (Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet), Aron St{\aa}lmarck (…

Critical States Identiffcation in Power System via Lattice Partition and Its Application in Reliability Assessment
Han Hu, Wenjie Wan, Feiyu Chen, Xiaoyu Liu, Bo Yu, Kequan Zhao
https://arxiv.org/abs/2510.09420

Critical States Identiffcation in Power System via Lattice Partition and Its Application in Reliability Assessment
With the increasing complexity of power systems,accurately identifying critical states (the states corresponding to minimal cut sets) and assessing system reliability have become crucial tasks. In this paper, a mathematical lattice structure is employed to represent and partition the state space of power system. Based on this structure, a novel recursive method is proposed to efffciently identify critical states by leveraging lattice partitioning and Optimal Power Flow(OPF) calculations. This m…

Analysis of bio-nanofluid flow over a stretching sheet with slip boundaries
Bahram Jalili, Salar Ghadiri Alamdari, Payam Jalili, Davood Domiri Ganji
https://arxiv.org/abs/2510.11149

Analysis of bio-nanofluid flow over a stretching sheet with slip boundaries
A viscous, incompressible, micropolar bio-nanofluid flowing across a stretching sheet in three dimensions while being driven to convect several slip boundaries in the presence of a magnetic field was studied. With the assistance of the relevant transformations, a mathematical model is presented. The finite difference method numerically solves the converted non-linear ordinary differential equations. A comprehensive assessment was conducted to examine the impact of governing parameters on dimens…

Non-uniqueness in Mean Curvature Flow: Non-canonical solutions via the parabolic Allen--Cahn
J. M. Daniels-Holgate
https://arxiv.org/abs/2510.06979 https://

Non-uniqueness in Mean Curvature Flow: Non-canonical solutions via the parabolic Allen--Cahn
When mean curvature flow evolves non-uniquely, the flow is said to fatten. The work of Ilmanen shows that any weak MCF is supported inside the fattening, and work of Hershkovits--White identified canonical weak flows supported on the boundary of the fattening, known as the outermost flows. It is natural to ask, when the flow fattens, are there weak mean curvature flows supported strictly inside the fattening? Outside of some special cases (e.g. flow from cones), this question was entirely open.…

Flow Matching for Measure Transport and Feedback Stabilization of Control-Affine Systems
Karthik Elamvazhuthi
https://arxiv.org/abs/2510.02706 https://arxi…

Flow Matching for Measure Transport and Feedback Stabilization of Control-Affine Systems
We develop a \emph{flow-matching framework} for transporting probability measures under control-affine dynamics and for stabilizing systems to points or target sets. Starting from the continuity equation associated with the control affine system dx/dt = f_0(x) + \sum_{i=1}^m u_i f_i(x), we construct measure interpolations through exact and approximate flow matching, and extend the approach to \emph{output flow matching} when only output distributions must align. These constructions allow to…

Bridging the Physics-Data Gap with FNO-Guided Conditional Flow Matching: Designing Inductive Bias through Hierarchical Physical Constraints
Tsuyoshi Okita
https://arxiv.org/abs/2510.08295

Bridging the Physics-Data Gap with FNO-Guided Conditional Flow Matching: Designing Inductive Bias through Hierarchical Physical Constraints
Conventional time-series generation often ignores domain-specific physical constraints, limiting statistical and physical consistency. We propose a hierarchical framework that embeds the inherent hierarchy of physical laws-conservation, dynamics, boundary, and empirical relations-directly into deep generative models, introducing a new paradigm of physics-informed inductive bias. Our method combines Fourier Neural Operators (FNOs) for learning physical operators with Conditional Flow Matching (C…

un_migrations: UN migration stock (2015)
A network of migration between countries, collected by the United Nations. A directed edge gives the flow of migration, and an edge property gives the number of migrants, for each given year and sex. Estimates are presented for 1990, 1995, 2000, 2005, 2010 and 2015 and are available for all countries and areas of the world. The estimates are based on official statistics on the foreign-born or the foreign population.
This network has 232 no…

Coherent Rayleigh-Brillouin scattering: influences of intermolecular potentials and chirp rates
Lei Wu
https://arxiv.org/abs/2510.09641 https://arxiv.org/p…

Coherent Rayleigh-Brillouin scattering: influences of intermolecular potentials and chirp rates
Chirped coherent Rayleigh-Brillouin scattering (CRBS) is a flow diagnostic technique that offers high signal-to-noise ratios and nanosecond temporal resolution. To extract information of dilute gas flow, experimental spectra must be compared with theoretical predictions derived from the Boltzmann equation. In this work, we develop a MATLAB code that deterministically solves the Boltzmann equation to compute CRBS spectra, enabling each line shape to be obtained in about one minute. We find that …

Asymptotic behaviour of the weak inverse anisotropic mean curvature flow
Chaoqun Gao, Yong Wei, Rong Zhou
https://arxiv.org/abs/2510.08168 https://arxiv.or…

Asymptotic behaviour of the weak inverse anisotropic mean curvature flow
We first establish a local gradient estimate for anisotropic $p$-harmonic functions. A key feature of our estimate is that the constant remains bounded as $p\to 1$; consequently, in the limit $p\to 1$, this estimate yields the local gradient estimate for weak solutions of the inverse anisotropic mean curvature flow (IAMCF). As an application, we show that the weak IAMCF is asymptotic to the expanding Wulff shape solution at the infinity, thereby extending the result of Huisken and Ilmanen in [7…

Flow with the Force Field: Learning 3D Compliant Flow Matching Policies from Force and Demonstration-Guided Simulation Data
Tianyu Li, Yihan Li, Zizhe Zhang, Nadia Figueroa
https://arxiv.org/abs/2510.02738

Flow with the Force Field: Learning 3D Compliant Flow Matching Policies from Force and Demonstration-Guided Simulation Data
While visuomotor policy has made advancements in recent years, contact-rich tasks still remain a challenge. Robotic manipulation tasks that require continuous contact demand explicit handling of compliance and force. However, most visuomotor policies ignore compliance, overlooking the importance of physical interaction with the real world, often leading to excessive contact forces or fragile behavior under uncertainty. Introducing force information into vision-based imitation learning could hel…

Weak solutions and weak-strong uniqueness for a compressible power-law-Oldroyd--B fluid model
Yong Lu, Milan Pokorny
https://arxiv.org/abs/2510.10096 https://

Weak solutions and weak-strong uniqueness for a compressible power-law-Oldroyd--B fluid model
We consider a model of a viscoelastic compressible flow in $R^{3}$ which is additionally shear thickening (the stress tensor corresponds to the power law model, however, the divergence of the velocity is due to the model bounded). We prove existence of a weak solution to this model provided the growth in the power law model is larger or equal than $\frac 52$. We also prove that any sufficiently smooth solution of this model is unique in the class of weak solution, provided extra integrability o…

un_migrations: UN migration stock (2015)
A network of migration between countries, collected by the United Nations. A directed edge gives the flow of migration, and an edge property gives the number of migrants, for each given year and sex. Estimates are presented for 1990, 1995, 2000, 2005, 2010 and 2015 and are available for all countries and areas of the world. The estimates are based on official statistics on the foreign-born or the foreign population.
This network has 232 no…

Regulation of droplet size and flow regime by geometrical confinement in a microfluidic flow-focusing device
Somasekhara Goud Sontti, Arnab Atta
https://arxiv.org/abs/2510.06893

Regulation of droplet size and flow regime by geometrical confinement in a microfluidic flow-focusing device
We have developed a coupled level set and volume of fluid-based computational fluid dynamics model to analyze the droplet formation mechanism in a square flow-focusing microchannel. We demonstrate a flexible manipulation of droplet formation and flow regime based on the modified flow-focusing microchannel with a constricted orifice. Furthermore, we have systematically studied the influence of geometrical confinement, flow rate, and interfacial tension on the droplet formation regime, length, vo…

Inverse curvature flow of closed Legendre curves
Takashi Kagaya, Masatomo Takahashi
https://arxiv.org/abs/2510.04566 https://arxiv.org/pdf/2510.04566

Inverse curvature flow of closed Legendre curves
In this paper, we deal with an inverse curvature flow of $\ell$-convex Legendre curves. Since the Legendre curve is a natural generalization of regular curve, the flow is a generalization of the classical inverse curvature flow of regular curves. For the initial value problem, we study on the unique existence of the flow in global time, the monotonicity of the number of the singular cusps with respect to t > 0 and the asymptotic behavior of the flow as $t \to \infty$. Regarding the asymptotics,…

NovaFlow: Zero-Shot Manipulation via Actionable Flow from Generated Videos
Hongyu Li, Lingfeng Sun, Yafei Hu, Duy Ta, Jennifer Barry, George Konidaris, Jiahui Fu
https://arxiv.org/abs/2510.08568

NovaFlow: Zero-Shot Manipulation via Actionable Flow from Generated Videos
Enabling robots to execute novel manipulation tasks zero-shot is a central goal in robotics. Most existing methods assume in-distribution tasks or rely on fine-tuning with embodiment-matched data, limiting transfer across platforms. We present NovaFlow, an autonomous manipulation framework that converts a task description into an actionable plan for a target robot without any demonstrations. Given a task description, NovaFlow synthesizes a video using a video generation model and distills it in…

Edit-Based Flow Matching for Temporal Point Processes
David L\"udke, Marten Lienen, Marcel Kollovieh, Stephan G\"unnemann
https://arxiv.org/abs/2510.06050 https://

Edit-Based Flow Matching for Temporal Point Processes
Temporal point processes (TPPs) are a fundamental tool for modeling event sequences in continuous time, but most existing approaches rely on autoregressive parameterizations that are limited by their sequential sampling. Recent non-autoregressive, diffusion-style models mitigate these issues by jointly interpolating between noise and data through event insertions and deletions in a discrete Markov chain. In this work, we generalize this perspective and introduce an Edit Flow process for TPPs th…

Viscoelastic flow of an Oldroyd-B fluid through a slowly varying contraction-expansion channel: pressure drop and elastic stress relaxation
Yali Kedem, Bimalendu Mahapatra, Evgeniy Boyko
https://arxiv.org/abs/2510.07166

Viscoelastic flow of an Oldroyd-B fluid through a slowly varying contraction-expansion channel: pressure drop and elastic stress relaxation
Viscoelastic fluid flows in narrow non-uniform geometries are ubiquitous in various engineering applications and physiological flow systems. For such flows, one of the key interests is understanding how fluid viscoelasticity affects the flow rate-pressure drop relation, which remains not fully understood. We analyze the flow of the Oldroyd-B fluid in slowly varying contraction-expansion channels, commonly referred to as constrictions. Unlike most previous theoretical studies focusing on contrac…

The significance of two-way coupling in two-dimensional, dusty turbulence
Harshit Joshi, Samriddhi Sankar Ray
https://arxiv.org/abs/2510.10463 https://arxi…

The significance of two-way coupling in two-dimensional, dusty turbulence
The significance of small-scale forcing of particles on the carrier two-dimensional turbulent flow has been shown [Pandey, Perlekar, and Mitra, Phys. Rev. E, 100, 013114 (2019)] to influence the spectral scaling properties of the carrier fluid. We investigate possible consequences of such two-way coupling in a turbulent suspension of inertial particles in one and two-point Eulerian and Lagrangian statistics. In particular, we find signatures of a possibly enhanced intermittency in the vorticity…

A model for transport of soluble surfactants in two-phase flows
Suhas S. Jain
https://arxiv.org/abs/2510.10857 https://arxiv.org/pdf/2510.10857

A model for transport of soluble surfactants in two-phase flows
In this work, we propose a novel transport model for soluble surfactants in two-phase flows. In a two-phase flow, the soluble surfactants can adsorb/desorb from/into the bulk of any of the phases to the interface and can modify the interface properties. This results in sharp gradients in the surfactant concentration on the interface and also between the two phases in the bulk when there is selective adsorption/desorption, presenting a serious challenge for the numerical simulations. To overco…

Verification of Convergent-Divergent Nozzle Designs in Propulsion Aerospace Applications
Noah L. Estrada, Marc A. Cantu, Arturo Rodriguez, Andrew R. Ybarra, Jeffrey H. Farris, Francisco O. Aguirre Ortega, Vineeth Vijaya Kumar, Vinod Kumar
https://arxiv.org/abs/2510.11667

Verification of Convergent-Divergent Nozzle Designs in Propulsion Aerospace Applications
The performance of convergent divergent nozzles plays a critical role in aerospace propulsion systems, where efficient expansion of high-temperature, high-pressure gases directly impacts thrust generation. In this study, we investigate a series of nozzle geometries using numerical simulations performed in ANSYS Fluent, with design parameters guided by classical compressible flow theory, initially developed by Ludwig Prandtl. The governing equations of conservation of mass, momentum, and energy …

Bubble entrainment in turbulent jets leaping from liquid surface
Fangye Lin, Mingbo Li
https://arxiv.org/abs/2510.09067 https://arxiv.org/pdf/2510.09067

Bubble entrainment in turbulent jets leaping from liquid surface
We investigate the phenomenon of air entrainment in turbulent water jets exiting a pool near the free surface. Our experimental results reveal that bubble entrainment occurs only within a specific region close to the point where the jet exits the water and is dictated solely by the jet's exit velocity, rather than the Reynolds number. The morphology of the jet above the pool surface, influenced predominantly by the Froude number or the injection angle, classifies the flow into two regimes: curt…

A novel spatial distribution method for wind farm parameterizations based on the Gaussian function
Bowen Du, Qi Li, Mingwei Ge, Xintao Li, Yongqian Liu
https://arxiv.org/abs/2510.11392

A novel spatial distribution method for wind farm parameterizations based on the Gaussian function
Wind farm parameterizations are crucial for quantifying the wind-farm atmosphere interaction, where wind turbines are typically modeled as elevated momentum sinks and sources of turbulence kinetic energy (TKE). These quantities must be properly distributed to the mesoscale grid. Existing parameterizations use the single-column method. However, this method can easily lead to the errors of the spatial distribution of the sink and source, thereby impacting the accuracy of mesoscale flow simulation…

Mapping surface height dynamics to subsurface flow physics in free-surface turbulent flow using a shallow recurrent decoder
Kristoffer S. Moen, J{\o}rgen R. Aarnes, Simen {\AA}. Ellingsen, J. Nathan Kutz
https://arxiv.org/abs/2510.06202

Mapping surface height dynamics to subsurface flow physics in free-surface turbulent flow using a shallow recurrent decoder
Near-surface turbulent flows beneath a free surface are reconstructed from sparse measurements of the surface height variation, by a novel neural network algorithm known as the SHallow REcurrent Decoder (SHRED). The reconstruction of turbulent flow fields from limited, partial, or indirect measurements remains a grand challenge in science and engineering. The central goal in such applications is to leverage easy-to-measure proxy variables in order to estimate quantities which have not been, and…