Tootfinder

😯😯😯
https://www.rathbiotaclan.com/whole-brain-emulation-achieved-scientists-run-a-fruit-fly-brain-in-simulation/
Thanks @…

Whole Brain Emulation Achieved: Scientists Run a Fruit Fly Brain in Simulation | RathBiotaClan
Scientists ran a real fruit fly brain in simulation using the FlyWire connectome, achieving the first working whole brain emulation.

In the rush to scale neural networks, we have fallen into a category error: believing that a perfect simulation of an intelligent behavior is the same thing as the existence of intelligence itself.
https://www.ocrampal.com/chasing-our-own-t

Chasing Our Own Tail: Self-Reference and the Limits of any Academic Discipline
Marcus Doubtful, a physicist turned philosopher. Richard Trad, a mathematician turned philosopher. Both have spent decades thinking about the foundations of knowledge, but they've reached very different conclusions. Richard: Marcus, I've been reading your recent work on disciplinary self-reference. While I find your historical analysis interesting, I think you're making

A profile of Applied Intuition, which makes self-driving simulation software and reported $800M in 2025 revenue and 80% gross margins, as it expands beyond cars (Iain Martin/Forbes)
https://www.forbes.com/sites/iainmartin/20…

These Billionaires Plan To Bring Self-Driving Tech To Everything That Moves
Applied Intuition’s cofounders are building software that can drive everything from planes to tanks to automobiles. But to expand beyond its $800 million business selling tech for cars, they will have to take on Tesla, Google, Nvidia and a host of other startups jostling for pole position in the autonomy race.

TIL a LLM-based simulation of a specific person (like Grammarly does without asking) is called a “sloppelgänger”
(Source: https://bsky.app/profile/lifewinning.com/post/3mgqaymhkf227)

Madden NFL 26 Super Bowl 2026 simulation: Seahawks and Patriots are in for another instant classic

https://www.cbssports.com/nfl/news/madden-nfl-26-super-bowl-2026-simulat…

Revised January 8, 2026: Simulation of prosthetic vision with the PRIMA system and enhancement of face representation https://arxiv.org/abs/2503.11677 retinal implant

Simulation of prosthetic vision with PRIMA system and enhancement of face representation
Objective. Patients implanted with the PRIMA photovoltaic subretinal prosthesis in geographic atrophy report form vision with the average acuity matching the 100um pixel size. Although this remarkable outcome enables them to read and write, they report difficulty with perceiving faces. Despite the pixelated stimulation, patients see smooth patterns rather than dots. We present a novel, non-pixelated algorithm for simulating prosthetic vision, compare its predictions to clinical outcomes, and de…

My fork of Morse Walker shows for each virtual QSO, how many stations were trying to connect, and the average number of stations that try to connect over your session.
I've always kind of felt like the simulation steps when adding stations are too discrete. Set to 2, it often hits 0 and you have to call CQ to invite a new caller; set to 3 you might go 20 minutes without draining the pool. I've…

Kurze Zündschnur: KI-Modelle greifen in Simulation fast immer zu Atomwaffen
LLMs neigen in Konfliktsimulationen dazu, schnell Atomwaffen einzusetzen. Eine Studie zeigt: In 95 Prozent der Planspiele kamen Atomwaffen zum Einsatz.

Liebe 3D-Community,
vom 16.–18. Juni 2026 findet die "Artemis Summer School" statt an der HOF University, Hof an der Saale.
In zweieinhalb Tagen erhaltet Ihr praktische Einblicke in:
− Reactive Heritage Digital Twins (RHDT)
− Tools zur Environmental- und Crowd Simulation
− AR/VR-Raumannotation und Remote-Rendering
− Reale Fallstudien von Kulturerbeinstitutionen in ganz Europa
Bewerbungsschluss: 19.03., die Teilnahme ist auf 20 Plätze begrenzt.

@… look what you made me do

Madden NFL 26 Super Bowl 2026 simulation: Seahawks and Patriots are in for another instant classic

https://www.cbssports.com/nfl/news/madden-nfl-26-super-bowl-2026-simulat…

Accounting for the effects of year-to-year climate variation on population growth rate can substantially decrease the size of a species' expected geographic range— by an average of 22% in this simulation study with a new method for range modeling
https://doi.org/10.1101/2024.10.30.621023

Why Computation Can Simulate the Past, but Never Generate the Living Present
The Zoetrope of Logic: Why Programs Live in Frozen Time
https://www.ocrampal.com/the-zoetrope-of-logic-why-programs-live-in-frozen-time/

The Zoetrope of Logic: Why Programs Live in Frozen Time
Why Computation Can Simulate the Past, but Never Generate the Living Present The Illusion of Time in Software When you watch a video game character run across a screen, witness a real-time stock ticker update, or see a physics simulation unfold, you're experiencing what appears to be continuous, flowing time.

16WW Eddi PV DHW Diverter Export Margin Analysis (2022-08) - Chosing a more grid-friendly value for the Export Margin based on 3 years' export data. #simulation #gridFriendly #diversion - …

16WW Eddi PV DHW Diverter Export Margin Analysis (2022-08)
Chosing a more grid-friendly value for the Export Margin based on 3 years export data. #simulation #gridFriendly #diversion

A live blog of Nvidia's keynote with CEO Jensen Huang at CES 2026, where the company is showcasing AI, robotics, simulation, gaming, and more (Katie Teague/Engadget)
https://www.engadget.com/computing/watch-t

Watch the NVIDIA CES 2026 keynote with CEO Jensen Huang live here: AI, robotics updates and more
NVIDIA is showcasing robotics, simulation, gaming and more at CES 2026.

Random 4:30am thoughts on “letting sounds be sounds”…
When one’s attention shifts from “what is making this sound?” to “how is this sound unfolding in time?” the brain engages musical processing pathways like temporal prediction, pattern extraction, motor simulation, affective resonance, etc.
This is why the same sound can be alleged background noise one moment and highly musical the next. Nothing external changes, but the listening stance does. You’re perceiving structure in the…

Einige der zuletzt hier besonders häufig geteilten #News:
Atomwaffen als erste Wahl: KI neigt zur Eskalation

💸 Nvidia plows $2B into Synopsys to make GPUs a must-have for design, simulation customers
https://go.theregister.com/feed/www.theregister.com/2025/12/01/nvidia_synopsys_2b/

Nvidia plows $2B into Synopsys to make GPUs a must-have for design, simulation customers
: You could do that on a CPU, but who can say no to a 30x GPU speed boost?

#Steady-#Klimacrew
Wie lässt sich das Wachstum von #Feldfrüchte​n vorhersagen, ohne sie überhaupt anzubauen?
Ein KI-Modell aus

KI-Software kann das Wachstum von Feldfrüchten simulieren
Eine neue Software zur Simulation des Pflanzenwachstums ermöglicht präzise Vorhersagen und unterstützt Landwirte bei wichtigen Entscheidungen.

Crosslisted article(s) found for physics.atom-ph. https://arxiv.org/list/physics.atom-ph/new
[1/1]:
- Realizing the Emery Model in Optical Lattices for Quantum Simulation of Cuprates and Nickelates
Lange, Qiu, Groth, von Haaren, Muscarella, Franz, Bloch, Grusdt, Preiss, Bo…

Simulation and optimization of the Active Magnetic Shield of the n2EDM experiment
N. J. Ayres, G. Ban, G. Bison, K. Bodek, V. Bondar, T. Bouillaud, G. L. Caratsch, E. Chanel, W. Chen, C. Crawford, V. Czamler, C. B. Doorenbos, S. Emmeneger, S. K. Ermakov, M. Ferry, M. Fertl, A. Fratangelo, D. Galbinski, W. C. Griffith, Z. D. Grujic, K. Kirch, V. Kletzl, J. Krempel, B. Lauss, T. Lefort, A. Lejuez, K. Michielsen, J. Micko, P. Mullan, O. Naviliat-Cuncic, F. M. Piegsa, G. Pignol, C. Pistillo, I. Rien\"acker, D. Ries, S. Roccia, D. Rozp\k{e}dzik, L. Sanchez-Real Zielniewicz, N. von Schickh, P. Schmidt-Wellenburg, E. P. Segarra, L. Segner, N. Severijns, K. Svirina, J. Thorne, J. Vankeirsbilck, N. Yazdandoost, J. Zejma, N. Ziehl, G. Zsigmond
https://arxiv.org/abs/2601.22960 https://arxiv.org/pdf/2601.22960 https://arxiv.org/html/2601.22960
arXiv:2601.22960v1 Announce Type: new
Abstract: The n2EDM experiment at the Paul Scherrer Institute aims to conduct a high-sensitivity search for the electric dipole moment of the neutron. Magnetic stability and control are achieved through a combination of passive shielding, provided by a magnetically shielded room (MSR), and a surrounding active field compensation system by an Active Magnetic Shield (AMS). The AMS is a feedback-controlled system of eight coils spanned on an irregular grid, designed to provide magnetic stability to the enclosed volume by actively suppressing external magnetic disturbances. It can compensate static and variable magnetic fields up to $\pm 50$ $\mu$T (homogeneous components) and $\pm 5$ $\mu$T/m (first-order gradients), suppressing them to a few $\mu$T in the sub-Hertz frequency range. We present a full finite element simulation of magnetic fields generated by the AMS in the presence of the MSR. This simulation is of sufficient accuracy to approach our measurements. We demonstrate how the simulation can be used with an example, obtaining an optimal number and placement of feedback sensors using genetic algorithms.
toXiv_bot_toot

One Hundred Years of Magical Realism in Literature, Film, and A.I. Simulation
https://ift.tt/3Kp5sWZ
updated: Monday, February 9, 2026 - 2:10pmfull name / name of organization: Eugene Arva / University…
via Input 4 RELCFP

HeatMat: Simulation of City Material Impact on Urban Heat Island Effect
Marie Reinbigler, Romain Rouffet, Peter Naylor, Mikolaj Czerkawski, Nikolaos Dionelis, Elisabeth Brunet, Catalin Fetita, Rosalie Martin
https://arxiv.org/abs/2601.22796 https://arxiv.org/pdf/2601.22796 https://arxiv.org/html/2601.22796
arXiv:2601.22796v1 Announce Type: new
Abstract: The Urban Heat Island (UHI) effect, defined as a significant increase in temperature in urban environments compared to surrounding areas, is difficult to study in real cities using sensor data (satellites or in-situ stations) due to their coarse spatial and temporal resolution. Among the factors contributing to this effect are the properties of urban materials, which differ from those in rural areas. To analyze their individual impact and to test new material configurations, a high-resolution simulation at the city scale is required. Estimating the current materials used in a city, including those on building facades, is also challenging. We propose HeatMat, an approach to analyze at high resolution the individual impact of urban materials on the UHI effect in a real city, relying only on open data. We estimate building materials using street-view images and a pre-trained vision-language model (VLM) to supplement existing OpenStreetMap data, which describes the 2D geometry and features of buildings. We further encode this information into a set of 2D maps that represent the city's vertical structure and material characteristics. These maps serve as inputs for our 2.5D simulator, which models coupled heat transfers and enables random-access surface temperature estimation at multiple resolutions, reaching an x20 speedup compared to an equivalent simulation in 3D.
toXiv_bot_toot

Always say "end simulation" before leaving the holodeck.
#SciFiEtiquette
#HashtagGames

Nvidia and ABB partner to bring ABB's robot training software to Nvidia's Omniverse simulation platform to build autonomous robots, which Foxconn is trialling (Financial Times)
https://www.ft.com/content/c77d99a4-8d75-4f34-8a71-6b1361ebb9b9

Nvidia and ABB launch partnership for AI-enabled autonomous robots
Industrial robots that can be trained in virtual conditions are being trialled by Foxconn

just used #PyPy to accelerate an Amaranth simulation from 35s to 17s (no code changes)
it's pretty good

RE: https://mathstodon.xyz/@threebodybot/115750615506874622
I like the Space Ballet. The choreographies these stars exhibit in almost every simulation.
But what I found really fascinating in this simulation is the sudden right-angle turn the yell…

Replaced article(s) found for cs.DS. https://arxiv.org/list/cs.DS/new
[1/1]:
- Fully Dynamic Adversarially Robust Correlation Clustering in Polylogarithmic Update Time
Vladimir Braverman, Prathamesh Dharangutte, Shreyas Pai, Vihan Shah, Chen Wang
https://arxiv.org/abs/2411.09979 https://mastoxiv.page/@arXiv_csDS_bot/113502653187863544
- A Simple and Combinatorial Approach to Proving Chernoff Bounds and Their Generalizations
William Kuszmaul
https://arxiv.org/abs/2501.03488 https://mastoxiv.page/@arXiv_csDS_bot/113791396712128907
- The Structural Complexity of Matrix-Vector Multiplication
Emile Anand, Jan van den Brand, Rose McCarty
https://arxiv.org/abs/2502.21240 https://mastoxiv.page/@arXiv_csDS_bot/114097340825270885
- Clustering under Constraints: Efficient Parameterized Approximation Schemes
Sujoy Bhore, Ameet Gadekar, Tanmay Inamdar
https://arxiv.org/abs/2504.06980 https://mastoxiv.page/@arXiv_csDS_bot/114312444050875805
- Minimizing Envy and Maximizing Happiness in Graphical House Allocation
Anubhav Dhar, Ashlesha Hota, Palash Dey, Sudeshna Kolay
https://arxiv.org/abs/2505.00296 https://mastoxiv.page/@arXiv_csDS_bot/114437013364446063
- Fast and Simple Densest Subgraph with Predictions
Thai Bui, Luan Nguyen, Hoa T. Vu
https://arxiv.org/abs/2505.12600 https://mastoxiv.page/@arXiv_csDS_bot/114538936921930134
- Compressing Suffix Trees by Path Decompositions
Becker, Cenzato, Gagie, Kim, Koerkamp, Manzini, Prezza
https://arxiv.org/abs/2506.14734 https://mastoxiv.page/@arXiv_csDS_bot/114703384646892523
- Improved sampling algorithms and functional inequalities for non-log-concave distributions
Yuchen He, Zhehan Lei, Jianan Shao, Chihao Zhang
https://arxiv.org/abs/2507.11236 https://mastoxiv.page/@arXiv_csDS_bot/114862112197588124
- Deterministic Lower Bounds for $k$-Edge Connectivity in the Distributed Sketching Model
Peter Robinson, Ming Ming Tan
https://arxiv.org/abs/2507.11257 https://mastoxiv.page/@arXiv_csDS_bot/114862223634372292
- Optimally detecting uniformly-distributed $\ell_2$ heavy hitters in data streams
Santhoshini Velusamy, Huacheng Yu
https://arxiv.org/abs/2509.07286 https://mastoxiv.page/@arXiv_csDS_bot/115178875220889588
- Uncrossed Multiflows and Applications to Disjoint Paths
Chandra Chekuri, Guyslain Naves, Joseph Poremba, F. Bruce Shepherd
https://arxiv.org/abs/2511.00254 https://mastoxiv.page/@arXiv_csDS_bot/115490402963680492
- Dynamic Matroids: Base Packing and Covering
Tijn de Vos, Mara Grilnberger
https://arxiv.org/abs/2511.15460 https://mastoxiv.page/@arXiv_csDS_bot/115580946319285096
- Branch-width of connectivity functions is fixed-parameter tractable
Tuukka Korhonen, Sang-il Oum
https://arxiv.org/abs/2601.04756 https://mastoxiv.page/@arXiv_csDS_bot/115864074799755995
- CoinPress: Practical Private Mean and Covariance Estimation
Sourav Biswas, Yihe Dong, Gautam Kamath, Jonathan Ullman
https://arxiv.org/abs/2006.06618
- The Ideal Membership Problem and Abelian Groups
Andrei A. Bulatov, Akbar Rafiey
https://arxiv.org/abs/2201.05218
- Bridging Classical and Quantum: Group-Theoretic Approach to Quantum Circuit Simulation
Daksh Shami
https://arxiv.org/abs/2407.19575 https://mastoxiv.page/@arXiv_quantph_bot/112874282709517475
- Young domination on Hamming rectangles
Janko Gravner, Matja\v{z} Krnc, Martin Milani\v{c}, Jean-Florent Raymond
https://arxiv.org/abs/2501.03788 https://mastoxiv.page/@arXiv_mathCO_bot/113791421814248215
- On the Space Complexity of Online Convolution
Joel Daniel Andersson, Amir Yehudayoff
https://arxiv.org/abs/2505.00181 https://mastoxiv.page/@arXiv_csCC_bot/114437005955255553
- Universal Solvability for Robot Motion Planning on Graphs
Anubhav Dhar, Pranav Nyati, Tanishq Prasad, Ashlesha Hota, Sudeshna Kolay
https://arxiv.org/abs/2506.18755 https://mastoxiv.page/@arXiv_csCC_bot/114737342714568702
- Colorful Minors
Evangelos Protopapas, Dimitrios M. Thilikos, Sebastian Wiederrecht
https://arxiv.org/abs/2507.10467
- Learning fermionic linear optics with Heisenberg scaling and physical operations
Aria Christensen, Andrew Zhao
https://arxiv.org/abs/2602.05058
toXiv_bot_toot

#Macular: a multi-scale simulation platform for the retina and the primary visual system https://www.frontiersin.org/journals/neuroinformatics/articles/10.3389/fn…

Frontiers | Macular: a multi-scale simulation platform for the retina and the primary visual system
We developed Macular, a simulation platform with a graphical interface, designed to produce in silico experiment scenarios for the retina and the primary vis...

Simulated Cyanotype Chemigrams...
Lately I've been revisiting my old fluid sim toolset which started out as part of my toxiclibs Java libraries (2007/8, based on Jos Stam's research, also previously mentioned in this thread[1]), then ported & expanded it for #Houdini in 2016, then ported again to TypeScript/GLSL (via

“Drone warfare at scale. Electronic warfare that evolves weekly. AI-assisted targeting systems built under fire. Distributed command and control that survives decapitation strikes. Civilian-military tech integration that NATO has theorized about for decades but never implemented. All of it battle-tested under conditions no simulation can replicate.“
Read “China Just Pulled Its Own Manhattan Project and No One Saw It ...

«A chatbot says “I’m sorry” flawlessly yet has no capacity for regret, repair, or change. It admits mistakes without loss. It expresses care without losing anything. It uses the language of care without having anything at risk. These utterances are fluent. And they train users to accept moral language divorced from consequence. The result is a quiet recalibration of norms. Apologies become costless. Responsibility becomes theatrical. Care becomes simulation.»

So ... which simulation of the large scale structure of the #Universe is this?
(Haven't found a way to hide the solution but not the image, to make it a quiz.)
This is from the press release "Observing synapses in action" - https://www.charite.de/en/service/press_reports/artikel/detail/observing_synapses_in_action - about the paper "Dynamic nanoscale architecture of synaptic vesicle fusion in mouse hippocampal neurons", https://www.nature.com/articles/s41467-025-67291-6 ;-)

RE: https://chaos.social/@stk/115939398172400578
Ernsthaft einen Hackathon auszurichten heißt, dass man jeden inhaltlichen Anspruch aufgegeben hat, dass es nur noch um Simulation von Teilhabe und Innovation geht.

Large eddy simulation of turbulent swirl-stabilized flames using the front propagation formulation: impact of the resolved flame thickness
Ruochen Guo, Yunde Su, Yuewen Jiang
https://arxiv.org/abs/2602.21940 https://arxiv.org/pdf/2602.21940 https://arxiv.org/html/2602.21940
arXiv:2602.21940v1 Announce Type: new
Abstract: This work extends the front propagation formulation (FPF) combustion model to large eddy simulation (LES) of swirl-stabilized turbulent premixed flames and investigates the effects of resolved flame thickness on the predicted flame dynamics. The FPF method is designed to mitigate the spurious propagation of under-resolved flames while preserving the reaction characteristics of filtered flame fronts. In this study, the model is extended to account for non-adiabatic effects and is coupled with an improved sub-filter flame speed estimation that resolves the inconsistency arising from heat-release effects on local sub-filter turbulence. The performance of the extended FPF method is validated by LES of the TECFLAM swirl-stabilized burner, where the results agree well with experimental measurements. The simulations reveal that the stretching of vortical structures in the outer shear layer leads to the formation of trapped flame pockets, which are identified as the physical mechanism responsible for the secondary temperature peaks observed in the experiment. The prediction of this phenomenon is shown to be strongly dependent on the resolved flame thickness, when the filter size is used for modeling sub-filter flame wrinklings. Without proper modeling of the chemical steepening effects, the thickness of the resolved flame brush is over-predicted, causing the flame consumption rate to be under-estimated. Consequently, the flame brush detaches from the outer shear layer, resulting in a failure to capture the flame pockets and the associated secondary temperature peaks.
toXiv_bot_toot

DECT default Klingeltöne und Nadeldrucker Geräusche.
Der #39c3 ist quasi Arztpraxen-simulation

2025 NFL playoff picture: Projected 14-team bracket based on a simulation of the final two weeks

https://www.cbssports.com/nfl/news/nfl-playoff-picture-2025-projected-1…

KI simuliert Evolution: So entstehen Insekten- und Linsenaugen
Ein Forschungsteam hat die Evolution des Auges in einer Physik-Simulation nachgebaut. Die Ergebnisse zeigen, warum die Natur so unterschiedliche Formen wählte.

Where my post-Drake hyperrealists at
https://www.tandfonline.com/doi/full/10.1080/10646175.2025.2538660

RE: https://mathstodon.xyz/@johncarlosbaez/116217133641983414
The distressing point in this thread is how no one even pauses on the point that this wonderful compelling accurate cover letter is itself you introducing yourself as a deceiver, not who are, but an airbrushed simulation.

Create buttons like such, send it to red states ICU and nurses in all hospitals. Make them wear it, especially when caring for Trump voters.
#Good #Pretti #AbolishICE

Netflix wins rights to a FIFA soccer simulation game, developed by Delphi Interactive and set for release ahead of the 2026 World Cup, for free to Netflix users (Laura Cress/BBC)
https://www.bbc.com/news/articles/c93w7dp42z2o

Fifa video game to return after four years in Netflix exclusive
The game will be made by Delphi Interactive and released in time for the 2026 World Cup.

The simulation's GPUs must be overloaded for the Ireland server, because the admins have enabled fogging to reduce render distance to around 10 meters.

“#Librarian: Tidy Up the Arcane Library! is a single-player simulation. You need return scattered books to proper places in an Arcane Library.”
This is like cocaine for librarians!
https://www.youtube.com/watch?v=Dh81e2oVZ…

Calibrated simulations for dynamic focusing of ultrasound through the temporal window #ultrasound

Calibrated simulations for dynamic focusing of ultrasound through the temporal window
Focused ultrasound can be delivered through the temporal window to modulate heterogeneously located brain areas. Acoustic simulations allow for safety assessments when dynamically targeting brain structures, but the mismatch between simulation and measured focal pressure can vary across the steerable range due to mechanically inaccurate assumptions made about the skull and transducer. Here, we describe efficient methods for simulation-measurement calibration using axisymmetric projections and s…

Crosslisted article(s) found for physics.atom-ph. https://arxiv.org/list/physics.atom-ph/new
[1/1]:
- Quantum Simulation of Massive Relativistic Fields in 2 1 Dimensions
Zhang, Wang, Wong, Jenkins, Konstantinou, Dogra, Thywissen, Eigen, Hadzibabic

"We're just going to run a physical simulation of a human brain to achieve AGI"
"Won't the brain die instantly if it's without a body and oxygen supply etc?"
"Well, we'll just also simulate a body."
"Won't the body die instantly if it's in a vacuum?
"Fine, we'll just simulate an atmosphere too."
"Won't the body die if it's without food and light and gravity and stimulation?"
"Fine, we'll just simulate all the physical processes on the Earth."
"Won't the Earth just freeze instantly without the Sun being there?"
"Fine, we'll just simulate the sun, too."
"Will the solar system work properly if there's only the sun? What about gravitational influences of other mass in the galaxy, what about cosmic rays?"
"Fine, we'll just simulate the whole universe, too."

Die monatliche #Energieerzeugung meiner #Kernfusionskollektoranlage im Vergleich zu Prognosedaten aus einer Simulation.
Gesamtleistung: 480 Wp
Ausrichtung: West
Anstellwinkel: 58 Grad
👉 So berechnest Du die Jahresertragsprognose:

We've all seen wobbly windows on Linux. I think it's time for an upgrade: We need to make real-time cloth simulation windows a thing!
#Linux #Wayland

Nonlinear light cone spreading of correlations in a triangular quantum magnet: a hard quantum simulation target
A. Scheie, J. Willsher, E. A. Ghioldi, Kevin Wang, P. Laurell, J. E. Moore, C. D. Batista, J. Knolle, D. Alan Tennant
https://arxiv.org/abs/2602.02433

Let's simulate the rest of the 2025 NFL season: The last three weeks, plus playoff and Super Bowl results https://www.espn.com/nfl/story/_/id/47326035/2025-nfl-season-simulation-final-three-weeks-standings-pl…

Experimental Validation of HomHBFEM Simulations of Fast Corrector Magnets for PETRA IV
Jan-Magnus Christmann, Laura Anna Maria D'Angelo, Herbert De Gersem, Sven Pfeiffer, Sajjad Hussain Mirza, Adeel Amjad, Lucas Rousselange, Matthias Thede
https://arxiv.org/abs/2602.14824 https://arxiv.org/pdf/2602.14824 https://arxiv.org/html/2602.14824
arXiv:2602.14824v1 Announce Type: new
Abstract: This paper presents experimental validation of the homogenized harmonic balance finite element method (HomHBFEM), which we have developed as a dedicated simulation technique for magnets with fast excitation cycles, in particular the fast corrector (FC) magnets for PETRA IV at DESY. The HomHBFEM allows efficient three-dimensional nonlinear eddy-current simulations of laminated magnets at elevated frequencies with a relatively coarse finite element (FE) mesh and without computationally expensive time-stepping. This is achieved by combining a frequency-domain-based homogenization technique with the harmonic balance FE method. The simulation results for the magnetic flux density along the axis of the FC magnets as a function of frequency and the resulting integrated transfer function (ITF) are compared to Hall probe and search coil measurements of the first prototype FC magnet for PETRA IV. A good agreement between simulated and measured ITFs is achieved for excitation frequencies from 10 Hz to 10 kHz.
toXiv_bot_toot

Die monatliche #Energieerzeugung meiner #Kernfusionskollektoranlage im Vergleich zu Prognosedaten aus einer Simulation.
Gesamtleistung: 480 Wp
Ausrichtung: West
Anstellwinkel: 58 Grad
👉 So berechnest Du die Jahresertragsprognose:

A Novel Explicit Filter for the Approximate Deconvolution in Large-Eddy Simulation on General Unstructured Grids: A posteriori tests on highly stretched grids
Mohammad Bagher Molaei, Ehsan Amani, Morteza Ghorbani
https://arxiv.org/abs/2602.21166 https://arxiv.org/pdf/2602.21166 https://arxiv.org/html/2602.21166
arXiv:2602.21166v1 Announce Type: new
Abstract: Explicit filters play a pivotal role in the scale separation and numerical stability of advanced Large Eddy Simulation (LES) closures, such as dynamic eddy-viscosity or Approximate Deconvolution (AD) methods. In the present study, it is demonstrated that the performance of commonly used explicit filters applicable to general unstructured grids highly depends on the grid configuration, specifically the cell aspect ratio, which can result in poor filter spectral properties, ultimately leading to large errors and even solution divergence. This study introduces a novel, efficient explicit filter for general unstructured grids, addressing this shortcoming through a combination of a face-averaging technique and recursive filtering. The filter parameters are then determined through a constrained multi-objective optimization, ensuring desirable spectral properties, including high-wavenumber attenuation, filter-width precision, filter stability and positivity, and minimized dispersion and commutation errors. The AD-LES of turbulent channel flow benchmarks using the new filter demonstrate a noticeable improvement in turbulent flow predictions on highly stretched boundary-layer-type grids, particularly in reducing the log-layer mean velocity profile mismatch, compared to simulations using conventional filters. The analyses show that this enhancement is mainly attributed to the sufficient level of attenuation near the Nyquist wavenumber achieved by the new filter in all spatial directions across various grid configurations, among others. The new filter was also successfully tested on unstructured prism grids for the 3D Taylor-Green vortex benchmark.
toXiv_bot_toot

NFL 100,000-1 parlay picks, odds, props for Wild Card Weekend, 2026: Get an epic return on a $10 bet

https://www.cbssports.com/nfl/news/nfl-100000-1-parlay-picks-odds-pro…

Replaced article(s) found for nlin.PS. https://arxiv.org/list/nlin.PS/new
[1/1]:
- sangkuriang: A pseudo-spectral Python library for Korteweg-de Vries soliton simulation
Dasapta E. Irawan, Sandy H. S. Herho, Faruq Khadami, Iwan P. Anwar
https://arxiv.org/abs/2601.12029 https://mastoxiv.page/@arXiv_nlinPS_bot/115932078207209076
- Piecewise integrability of the discrete Hasimoto map for analytic prediction and design of helica...
Yiquan Wang
https://arxiv.org/abs/2602.16255 https://mastoxiv.page/@arXiv_qbioBM_bot/116096399354766559
toXiv_bot_toot

Die monatliche #Energieerzeugung meiner #Kernfusionskollektoranlage im Vergleich zu Prognosedaten aus einer Simulation.
Gesamtleistung: 480 Wp
Ausrichtung: West
Anstellwinkel: 58 Grad
👉 So berechnest Du die Jahresertragsprognose:

WeirNet: A Large-Scale 3D CFD Benchmark for Geometric Surrogate Modeling of Piano Key Weirs
Lisa L\"uddecke, Michael Hohmann, Sebastian Eilermann, Jan Tillmann-Mumm, Pezhman Pourabdollah, Mario Oertel, Oliver Niggemann
https://arxiv.org/abs/2602.20714 https://arxiv.org/pdf/2602.20714 https://arxiv.org/html/2602.20714
arXiv:2602.20714v1 Announce Type: new
Abstract: Reliable prediction of hydraulic performance is challenging for Piano Key Weir (PKW) design because discharge capacity depends on three-dimensional geometry and operating conditions. Surrogate models can accelerate hydraulic-structure design, but progress is limited by scarce large, well-documented datasets that jointly capture geometric variation, operating conditions, and functional performance. This study presents WeirNet, a large 3D CFD benchmark dataset for geometric surrogate modeling of PKWs. WeirNet contains 3,794 parametric, feasibility-constrained rectangular and trapezoidal PKW geometries, each scheduled at 19 discharge conditions using a consistent free-surface OpenFOAM workflow, resulting in 71,387 completed simulations that form the benchmark and with complete discharge coefficient labels. The dataset is released as multiple modalities compact parametric descriptors, watertight surface meshes and high-resolution point clouds together with standardized tasks and in-distribution and out-of-distribution splits. Representative surrogate families are benchmarked for discharge coefficient prediction. Tree-based regressors on parametric descriptors achieve the best overall accuracy, while point- and mesh-based models remain competitive and offer parameterization-agnostic inference. All surrogates evaluate in milliseconds per sample, providing orders-of-magnitude speedups over CFD runtimes. Out-of-distribution results identify geometry shift as the dominant failure mode compared to unseen discharge values, and data-efficiency experiments show diminishing returns beyond roughly 60% of the training data. By publicly releasing the dataset together with simulation setups and evaluation pipelines, WeirNet establishes a reproducible framework for data-driven hydraulic modeling and enables faster exploration of PKW designs during the early stages of hydraulic planning.
toXiv_bot_toot

Crosslisted article(s) found for physics.atom-ph. https://arxiv.org/list/physics.atom-ph/new
[1/1]:
- Quantum simulation of the Dicke model in a two-dimensional ion crystal: chaos, quantum thermaliza...
Bullock, Muleady, Lilieholm, Zhang, Lewis-Swan, Bollinger, Rey, Carter…

Crosslisted article(s) found for cs.GR. https://arxiv.org/list/cs.GR/new
[1/1]:
- Exo-Plore: Exploring Exoskeleton Control Space through Human-aligned Simulation
Geonho Leem, Jaedong Lee, Jehee Lee, Seungmoon Song, Jungdam Won
https://arxiv.org/abs/2601.22550 https://mastoxiv.page/@arXiv_csRO_bot/116000313826549982
- Synthetic Abundance Maps for Unsupervised Super-Resolution of Hyperspectral Remote Sensing Images
Xinxin Xu, Yann Gousseau, Christophe Kervazo, Sa\"id Ladjal
https://arxiv.org/abs/2601.22755 https://mastoxiv.page/@arXiv_eessIV_bot/116000368902815664
- Under-Canopy Terrain Reconstruction in Dense Forests Using RGB Imaging and Neural 3D Reconstruction
Refael Sheffer, Chen Pinchover, Haim Zisman, Dror Ozeri, Roee Litman
https://arxiv.org/abs/2601.22861 https://mastoxiv.page/@arXiv_csCV_bot/116000605470776021
toXiv_bot_toot

A machine learning-based decoder framework for the cortical voltage-sensitive dye responses to retinal neuromorphic microstimulation: A proof-of-concept simulation study https://www.mdpi.com/2306-5354/13/2/231 Seizure risks not accounted for (e.g. edge-only vision), nor receptive field sizes, etc;

From synthetic turbulence to true solutions: A deep diffusion model for discovering periodic orbits in the Navier-Stokes equations
Jeremy P Parker, Tobias M Schneider
https://arxiv.org/abs/2602.23181 https://arxiv.org/pdf/2602.23181 https://arxiv.org/html/2602.23181
arXiv:2602.23181v1 Announce Type: new
Abstract: Generative artificial intelligence has shown remarkable success in synthesizing data that mimic complex real-world systems, but its potential role in the discovery of mathematically meaningful structures in physical models remains underexplored. In this work, we demonstrate how a generative diffusion model can be used to uncover previously unknown solutions of a nonlinear partial differential equation: the two-dimensional Navier-Stokes equations in a turbulent regime. Trained on data from a direct numerical simulation of turbulence, the model learns to generate time series that resemble physically plausible trajectories. By carefully modifying the temporal structure of the model and enforcing the symmetries of the governing equations, we produce synthetic trajectories that are periodic in time, despite the fact that the training data did not contain periodic trajectories. These synthetic trajectories are then refined into true solutions using an iterative solver, yielding 111 new periodic orbits (POs) with very short periods. Our results reveal a previously unobserved richness in the PO structure of this system and suggest a broader role for generative AI: not as replacements for simulation and existing solvers, but as a complementary tool for navigating the complex solution spaces of nonlinear dynamical systems.
toXiv_bot_toot

Replaced article(s) found for physics.ins-det. https://arxiv.org/list/physics.ins-det/new
[1/1]:
- Frequency domain laser ultrasound for inertial confinement fusion target wall thickness measurements
Martin Ryzy, Guqi Yan, Clemens Gr\"unsteidl, Georg Watzl, Kevin Sequoia, Pavel Lapa, Haibo Huang
https://arxiv.org/abs/2510.15997 https://mastoxiv.page/@arXiv_physicsinsdet_bot/115411462164784635
- Performance study of 4-MU-loaded water for Cherenkov light detection
Pendo B. Nyanda, Gowoon Kim, Youngduk Kim, Kyungmin Seo, Jaison Lee, Olga Gileva, Eungseok Yi
https://arxiv.org/abs/2511.03989 https://mastoxiv.page/@arXiv_physicsinsdet_bot/115507625334754650
- Design and Performance of a 96-channel Resistive PICOSEC Micromegas Detector for ENUBET
A. Kallitsopoulou, et al.
https://arxiv.org/abs/2512.05589 https://mastoxiv.page/@arXiv_physicsinsdet_bot/115683123547651781
- Quantitative mobile gamma-ray spectrometry through Bayesian inference
David Breitenmoser, Alberto Stabilini, Malgorzata Magdalena Kasprzak, Sabine Mayer
https://arxiv.org/abs/2512.18769 https://mastoxiv.page/@arXiv_physicsinsdet_bot/115768012810833326
- Neutron multiplicity measurement in muon capture on oxygen nuclei in the Gd-loaded Super-Kamiokan...
Kamiokande Collaboration, et al.
https://arxiv.org/abs/2502.17002 https://mastoxiv.page/@arXiv_hepex_bot/114063427901532394
- Monte Carlo simulation of the ISOLPHARM gamma camera for Ag-111 imaging
D. Serafini, et al.
https://arxiv.org/abs/2502.20112 https://mastoxiv.page/@arXiv_physicsmedph_bot/114080420857311942
- Performance and radiation damage mitigation strategy for silicon photomultipliers on LEO space mi...
L. Burmistrov, et al.
https://arxiv.org/abs/2503.00532 https://mastoxiv.page/@arXiv_hepex_bot/114103061208888723
- Predicting the single-site and multi-site event discrimination power of dual-phase time projectio...
Sazzad, Hardy, Dai, Xu, Lenardo, Sutanto, Antipa, Koertzen, John, Akinin, Pershing
https://arxiv.org/abs/2510.02258 https://mastoxiv.page/@arXiv_hepex_bot/115309574340832888
toXiv_bot_toot

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[3/6]:
- Towards Scalable Oversight via Partitioned Human Supervision
Ren Yin, Takashi Ishida, Masashi Sugiyama
https://arxiv.org/abs/2510.22500 https://mastoxiv.page/@arXiv_csLG_bot/115451787490434401
- ContextPilot: Fast Long-Context Inference via Context Reuse
Yinsicheng Jiang, Yeqi Huang, Liang Cheng, Cheng Deng, Xuan Sun, Luo Mai
https://arxiv.org/abs/2511.03475 https://mastoxiv.page/@arXiv_csLG_bot/115502245581974540
- Metabolomic Biomarker Discovery for ADHD Diagnosis Using Interpretable Machine Learning
Nabil Belacel, Mohamed Rachid Boulassel
https://arxiv.org/abs/2601.11283 https://mastoxiv.page/@arXiv_csLG_bot/115921183182326799
- PhysE-Inv: A Physics-Encoded Inverse Modeling approach for Arctic Snow Depth Prediction
Akila Sampath, Vandana Janeja, Jianwu Wang
https://arxiv.org/abs/2601.17074
- SAGE-5GC: Security-Aware Guidelines for Evaluating Anomaly Detection in the 5G Core Network
Cristian Manca, Christian Scano, Giorgio Piras, Fabio Brau, Maura Pintor, Battista Biggio
https://arxiv.org/abs/2602.03596
- LORE: Jointly Learning the Intrinsic Dimensionality and Relative Similarity Structure From Ordina...
Anand, Helbling, Davenport, Berman, Alagapan, Rozell
https://arxiv.org/abs/2602.04192
- Towards Robust Scaling Laws for Optimizers
Alexandra Volkova, Mher Safaryan, Christoph H. Lampert, Dan Alistarh
https://arxiv.org/abs/2602.07712 https://mastoxiv.page/@arXiv_csLG_bot/116046369672796465
- Do We Need Adam? Surprisingly Strong and Sparse Reinforcement Learning with SGD in LLMs
Sagnik Mukherjee, Lifan Yuan, Pavan Jayasinha, Dilek Hakkani-T\"ur, Hao Peng
https://arxiv.org/abs/2602.07729 https://mastoxiv.page/@arXiv_csLG_bot/116046377539155485
- AceGRPO: Adaptive Curriculum Enhanced Group Relative Policy Optimization for Autonomous Machine L...
Yuzhu Cai, Zexi Liu, Xinyu Zhu, Cheng Wang, Siheng Chen
https://arxiv.org/abs/2602.07906 https://mastoxiv.page/@arXiv_csLG_bot/116046423413650658
- VESPO: Variational Sequence-Level Soft Policy Optimization for Stable Off-Policy LLM Training
Guobin Shen, Chenxiao Zhao, Xiang Cheng, Lei Huang, Xing Yu
https://arxiv.org/abs/2602.10693 https://mastoxiv.page/@arXiv_csLG_bot/116057229834947730
- KBVQ-MoE: KLT-guided SVD with Bias-Corrected Vector Quantization for MoE Large Language Models
Zukang Xu, Zhixiong Zhao, Xing Hu, Zhixuan Chen, Dawei Yang
https://arxiv.org/abs/2602.11184 https://mastoxiv.page/@arXiv_csLG_bot/116062537528208461
- MUSE: Multi-Tenant Model Serving With Seamless Model Updates
Correia, Ferreira, Martins, Bento, Guerreiro, Pereira, Gomes, Bono, Ferreira, Bizarro
https://arxiv.org/abs/2602.11776 https://mastoxiv.page/@arXiv_csLG_bot/116062952355379801
- Pawsterior: Variational Flow Matching for Structured Simulation-Based Inference
Jorge Carrasco-Pollo, Floor Eijkelboom, Jan-Willem van de Meent
https://arxiv.org/abs/2602.13813 https://mastoxiv.page/@arXiv_csLG_bot/116085828112928218
- Silent Inconsistency in Data-Parallel Full Fine-Tuning: Diagnosing Worker-Level Optimization Misa...
Hong Li, Zhen Zhou, Honggang Zhang, Yuping Luo, Xinyue Wang, Han Gong, Zhiyuan Liu
https://arxiv.org/abs/2602.14462 https://mastoxiv.page/@arXiv_csLG_bot/116085997857526328
- Divine Benevolence is an $x^2$: GLUs scale asymptotically faster than MLPs
Alejandro Francisco Queiruga
https://arxiv.org/abs/2602.14495 https://mastoxiv.page/@arXiv_csLG_bot/116086011618741857
- \"UberWeb: Insights from Multilingual Curation for a 20-Trillion-Token Dataset
DatologyAI, et al.
https://arxiv.org/abs/2602.15210 https://mastoxiv.page/@arXiv_csLG_bot/116090912256712568
- GLM-5: from Vibe Coding to Agentic Engineering
GLM-5-Team, et al.
https://arxiv.org/abs/2602.15763 https://mastoxiv.page/@arXiv_csLG_bot/116091080686771018
- Anatomy of Capability Emergence: Scale-Invariant Representation Collapse and Top-Down Reorganizat...
Jayadev Billa
https://arxiv.org/abs/2602.15997 https://mastoxiv.page/@arXiv_csLG_bot/116096541546306333
- AI-CARE: Carbon-Aware Reporting Evaluation Metric for AI Models
KC Santosh, Srikanth Baride, Rodrigue Rizk
https://arxiv.org/abs/2602.16042 https://mastoxiv.page/@arXiv_csLG_bot/116096581524696028
- Beyond Message Passing: A Symbolic Alternative for Expressive and Interpretable Graph Learning
Chuqin Geng, Li Zhang, Haolin Ye, Ziyu Zhao, Yuhe Jiang, Tara Saba, Xinyu Wang, Xujie Si
https://arxiv.org/abs/2602.16947 https://mastoxiv.page/@arXiv_csLG_bot/116102426238903124
toXiv_bot_toot

Replaced article(s) found for physics.acc-ph. https://arxiv.org/list/physics.acc-ph/new
[1/1]:
- Classical and quantum beam dynamics simulation of the RF photoinjector test bench
Dyatlov, Kobets, Levichev, Maksimov, Nikiforov, Nozdrin, Popov, Sibiryakova, Yunenko, Karlovets
https://arxiv.org/abs/2509.00732 https://mastoxiv.page/@arXiv_physicsaccph_bot/115139328955562484
- First Experimental Demonstration of Beam Storage by Three-Dimensional Spiral Injection Scheme for...
Matsushita, Iinuma, Ohsawa, Nakayama, Furukawa, Ogawa, Saito, Mibe, Rehman
https://arxiv.org/abs/2602.01504 https://mastoxiv.page/@arXiv_physicsaccph_bot/116005767460963446
- Generation of high-OAM ultraviolet twisted light for RF-photoinjector applications
Dyatlov, Dolgintsev, Gerasimov, Kobets, Nazmov, Nozdrin, Sergeev, Shokin, Yunenko, Karlovets
https://arxiv.org/abs/2512.08442 https://mastoxiv.page/@arXiv_quantph_bot/115694829644210242
toXiv_bot_toot

Large eddy simulation of turbulent swirl-stabilized flames using the front propagation formulation: impact of the resolved flame thickness
Ruochen Guo, Yunde Su, Yuewen Jiang
https://arxiv.org/abs/2602.21940

NFL longshot parlay picks, bets for Championship Round, 2026: Get an epic return of more than 11,000,000

https://www.cbssports.com/nfl/news/nfl-longshot-parlay-pic…

A Novel Explicit Filter for the Approximate Deconvolution in Large-Eddy Simulation on General Unstructured Grids: A posteriori tests on highly stretched grids
Mohammad Bagher Molaei, Ehsan Amani, Morteza Ghorbani
https://arxiv.org/abs/2602.21166

Estimating Spatially Resolved Radiation Fields Using Neural Networks
Felix Lehner, Pasquale Lombardo, Susana Castillo, Oliver Hupe, Marcus Magnor
https://arxiv.org/abs/2512.17654 https://arxiv.org/pdf/2512.17654 https://arxiv.org/html/2512.17654
arXiv:2512.17654v1 Announce Type: new
Abstract: We present an in-depth analysis on how to build and train neural networks to estimate the spatial distribution of scattered radiation fields for radiation protection dosimetry in medical radiation fields, such as those found in Interventional Radiology and Cardiology. Therefore, we present three different synthetically generated datasets with increasing complexity for training, using a Monte-Carlo Simulation application based on Geant4. On those datasets, we evaluate convolutional and fully connected architectures of neural networks to demonstrate which design decisions work well for reconstructing the fluence and spectra distributions over the spatial domain of such radiation fields. All used datasets as well as our training pipeline are published as open source in separate repositories.
toXiv_bot_toot

Replaced article(s) found for cs.GR. https://arxiv.org/list/cs.GR/new
[1/1]:
- Controllable Video Generation: A Survey
Yue Ma, et al.
https://arxiv.org/abs/2507.16869 https://mastoxiv.page/@arXiv_csGR_bot/114907178598354130
- Lightning Fast Caching-based Parallel Denoising Prediction for Accelerating Talking Head Generation
Jianzhi Long, Wenhao Sun, Rongcheng Tu, Dacheng Tao
https://arxiv.org/abs/2509.00052 https://mastoxiv.page/@arXiv_csGR_bot/115139250819269869
- MimicKit: A Reinforcement Learning Framework for Motion Imitation and Control
Xue Bin Peng
https://arxiv.org/abs/2510.13794 https://mastoxiv.page/@arXiv_csGR_bot/115382726856686148
- TIDI-GS: Floater Suppression in 3D Gaussian Splatting for Enhanced Indoor Scene Fidelity
Sooyeun Yang, Cheyul Im, Jee Won Lee, Jongseong Brad Choi
https://arxiv.org/abs/2601.09291 https://mastoxiv.page/@arXiv_csGR_bot/115898204587831863
- Eye-tracked Virtual Reality: A Comprehensive Survey on Methods and Privacy Challenges
Bozkir, S\Ozdel, Wang, David-John, Gao, Butler, Jain, Kasneci
https://arxiv.org/abs/2305.14080
- Hi5: Synthetic Data for Inclusive, Robust, Hand Pose Estimation
Hasan, Ozel, Long, Martin, Potter, Adnan, Lee, Hoque
https://arxiv.org/abs/2406.03599 https://mastoxiv.page/@arXiv_csCV_bot/112573997027314918
- A Text-to-3D Framework for Joint Generation of CG-Ready Humans and Compatible Garments
Zhiyao Sun, Yu-Hui Wen, Ho-Jui Fang, Sheng Ye, Matthieu Lin, Tian Lv, Yong-Jin Liu
https://arxiv.org/abs/2503.12052 https://mastoxiv.page/@arXiv_csCV_bot/114182219370820263
- A Unified Architecture for N-Dimensional Visualization and Simulation: 4D Implementation and Eval...
Hirohito Arai
https://arxiv.org/abs/2512.01501 https://mastoxiv.page/@arXiv_csCG_bot/115648840470000746
toXiv_bot_toot

Replaced article(s) found for physics.atom-ph. https://arxiv.org/list/physics.atom-ph/new
[1/1]:
- Single Sr Atoms in Optical Tweezer Arrays for Quantum Simulation
Giardini, Guariento, Fantini, Storm, Inguscio, Catani, Cappellini, Gavryusev, Fallani

Ein #Energiesystem auf Basis von #Windkraft und #Photovoltaik mit ausreichend #Speichern …

Energiewende: Strompreise werden durch Erneuerbare stabilisiert - Golem.de
Eine Simulation mit realen Daten zeigt: Ein System auf Basis erneuerbarer Energie funktioniert bestens. Strom dürfte sich sogar verbilligen.