Tootfinder

Tsunami modeling with dynamic seafloors: a high-order solver validated with shallow water benchmarks
Thomas Melkior (LMPS, LGENS), Harsha S Bhat (LGENS), Faisal Amlani (LMPS)
https://arxiv.org/abs/2508.20596

Tsunami modeling with dynamic seafloors: a high-order solver validated with shallow water benchmarks
Recent scientific studies have suggested that, in certain physical configurations, the time-dependent behavior of earthquake rupture and seafloor (bathymetry) motion can leave observable near-field signatures in tsunami wave generation and propagation. However, dynamic ground movement is often neglected in conventional tsunami models, which commonly assume instantaneous ground displacement (sourcing). This work introduces a pseudo-spectral algorithm for the solution of the nonlinear shallow wat…

Just picked up this #Salter Improved Family Scale to gift a friend who's getting married and is into old-fashioned stuff and British stuff.
But, it doesn't quite sit at 0. Does anyone have any experience on how to tare a machine like this? There's no knob as far as I can see. The plate on top also doesn't seem like it can be removed without force.
More pictures below. …

Challenges and Practices in Quantum Software Testing and Debugging: Insights from Practitioners
Jake Zappin, Trevor Stalnaker, Oscar Chaparro, Denys Poshyvanyk
https://arxiv.org/abs/2506.17306

Challenges and Practices in Quantum Software Testing and Debugging: Insights from Practitioners
Quantum software engineering is an emerging discipline with distinct challenges, particularly in testing and debugging. As quantum computing transitions from theory to implementation, developers face issues not present in classical software development, such as probabilistic execution, limited observability, shallow abstractions, and low awareness of quantum-specific tools. To better understand current practices, we surveyed 26 quantum software developers from academia and industry and conducte…

I have extended thoughts on a few nuances of burnout, resilience, and employment
Before taking time off for burnout, my skip manager reminded me to read the strongly positive 360 feedback from my reports. That's both a shallow and a deep reinforcement of resilience, first and foremost by rebuilding and grounding self-confidence. Reading positive feedback provides evidence that I'm capable and effective at my job.
Beyond self-confidence, I have other needs in a workplace, …

Pedro the #Math Cat 🐈
Fits \(\implies\) Sits
#Cats #CatsOfMastodon

From shallow to full wrapping: geometry and deformability dictate lipid vesicle internalization
Stijn van der Ham, Alexander Brown, Halim Kusumaatmaja, Hanumantha Rao Vutukuri
https://arxiv.org/abs/2507.17434

From shallow to full wrapping: geometry and deformability dictate lipid vesicle internalization
The deformability of vesicles critically influences their engulfment by lipid membranes, a process central to endocytosis, viral entry, drug delivery, and intercellular transport. While theoretical models have long predicted this influence, direct experimental validation has remained elusive. Here, we combine experiments with continuum simulations to quantify how vesicle deformability affects the engulfment of small giant unilamellar vesicles (GUVs) by larger GUVs under depletion-induced adhesi…

A practical route to donor binding energies: The DFT-1/2 method for shallow defects
Joshua Claes, Bart Partoens, Dirk Lamoen, Marcelo Marques, Lara K. Teles
https://arxiv.org/abs/2508.14738

A practical route to donor binding energies: The DFT-1/2 method for shallow defects
Accurately calculating the binding energies of shallow defects requires large supercells to capture the extended nature of their wavefunctions. This makes many beyond-DFT methods, such as hybrid functionals, impractical for direct calculations, often requiring indirect or approximate approaches. However, standard DFT alone fails to provide reliable results due to the well-known band gap underestimation and delocalization errors. In this work, we employ the DFT-1/2 method to address these defici…

A well-balanced gas-kinetic scheme with adaptive mesh refinement for shallow water equations
Gaocheng Liu, Fengxiang Zhao, Jianping Gan, Kun Xu
https://arxiv.org/abs/2508.14216 …

A well-balanced gas-kinetic scheme with adaptive mesh refinement for shallow water equations
This paper is about the construction of a well-balanced gas-kinetic scheme (GKS) with space-time adaptive mesh refinement (STAMR) for the shallow water equations (SWE). While the well-balanced GKS has been established on Cartesian and triangular meshes, the present STAMR framework employs arbitrary quadrilateral meshes with hanging nodes, posing additional challenges for constructing well-balanced schemes. Complementing spatial adaptivity, temporal adaptivity is achieved by selecting adaptive t…

A clear sunny Winter solstice day, so why not Chicken katsu udon soup with roasted rice tea for lunch at Tokyo Canteen in Kingston?
The soup had citrus-pickled vegetables in it (daikon, carrot, cauliflower and Brussels sprouts) - which was a pleasant surprise (I just expected dashi or miso or something).
#food #canberra

Effective theories for incompressible magnetoelastic shallow shells
Emanuele Tasso, Tobias Unterberger
https://arxiv.org/abs/2508.13916 https://arxiv.org/p…

Effective theories for incompressible magnetoelastic shallow shells
We characterize the asymptotic behaviour, in the sense of $Γ$-convergence, of a thin magnetoelastic shallow shell. The compactness is achieved up to rigid motions. For deformations, it relies on an approximation by rigid movements, whereas for magnetizations it is based on a careful consideration of the geometry of the deformed domain. The result is obtained by a combination of variational methods ($Γ$-convergence) with degree theory, fixed-point and geometrical arguments. The proof strategy …

TRUST: Transparent, Robust and Ultra-Sparse Trees
Albert Dorador
https://arxiv.org/abs/2506.15791 https://arxiv.org/pdf/2506.15791

TRUST: Transparent, Robust and Ultra-Sparse Trees
Piecewise-constant regression trees remain popular for their interpretability, yet often lag behind black-box models like Random Forest in predictive accuracy. In this work, we introduce TRUST (Transparent, Robust, and Ultra-Sparse Trees), a novel regression tree model that combines the accuracy of Random Forests with the interpretability of shallow decision trees and sparse linear models. TRUST further enhances transparency by leveraging Large Language Models to generate tailored, user-friendl…

Propagation Tree Is Not Deep: Adaptive Graph Contrastive Learning Approach for Rumor Detection
Chaoqun Cui, Caiyan Jia
https://arxiv.org/abs/2508.07201 https://

Propagation Tree Is Not Deep: Adaptive Graph Contrastive Learning Approach for Rumor Detection
Rumor detection on social media has become increasingly important. Most existing graph-based models presume rumor propagation trees (RPTs) have deep structures and learn sequential stance features along branches. However, through statistical analysis on real-world datasets, we find RPTs exhibit wide structures, with most nodes being shallow 1-level replies. To focus learning on intensive substructures, we propose Rumor Adaptive Graph Contrastive Learning (RAGCL) method with adaptive view augmen…

Collapsi is strongly solved
Michael Young
https://arxiv.org/abs/2507.16823 https://arxiv.org/pdf/2507.16823

Collapsi is strongly solved
Collapsi is a two-player game of complete information released in June 2025 by Mark S. Ball of Riffle Shuffle & Roll. Played with two pawns on a toroidal board of 16 randomly mixed playing cards, players take it in turns to move based on the value of the card they sit on, with the game ending when a player has no legal moves. The number of possible deals after symmetry breaking is low enough, and the game tree shallow enough, to make an exhaustive analysis of the game feasible. A solver was wri…

I'm not saying any new shit:
"I have almost reached the regrettable conclusion that the Negro's great stumbling block in his stride toward freedom is not the White Citizen's Counciler or the Ku Klux Klanner, but the white moderate, who is more devoted to "order" than to justice; who prefers a negative peace which is the absence of tension to a positive peace which is the presence of justice; who constantly says: "I agree with you in the goal you seek, but I cannot agree with your methods of direct action"; who paternalistically believes he can set the timetable for another man's freedom; who lives by a mythical concept of time and who constantly advises the Negro to wait for a "more convenient season." Shallow understanding from people of good will is more frustrating than absolute misunderstanding from people of ill will. Lukewarm acceptance is much more bewildering than outright rejection."
- Letter from a Birmingham Jail, MLK

Golden Partition Zone: Rethinking Neural Network Partitioning Under Inversion Threats in Collaborative Inference
Rongke Liu, Youwen Zhu
https://arxiv.org/abs/2506.15412

Golden Partition Zone: Rethinking Neural Network Partitioning Under Inversion Threats in Collaborative Inference
In collaborative inference, intermediate features transmitted from edge devices can be exploited by adversaries to reconstruct original inputs via model inversion attacks (MIA). While existing defenses focus on shallow-layer protection, they often incur significant utility loss. A key open question is how to partition the edge-cloud model to maximize resistance to MIA while minimizing accuracy degradation. We first show that increasing model depth alone does not guarantee resistance. Through th…

Someday, I want to erase everything and vanish offline, I’ve said it before and I’ll say it again.
I’m sick of being trapped in this endless cycle of digital puppetry and mental sludge, where every click feeds some shallow algorithm designed to keep you hooked and dumbed down, turning people into another batch of screen-zombies chasing cheap hits and empty dopamine hits.
I want out of this rat race of constant noise and manufactured crises, where reality is warped into a carnival…

Local feature filtering for scalable and well-conditioned Random Feature Methods
Jan Willem van Beek, Victorita Dolean, Ben Moseley
https://arxiv.org/abs/2506.17626

Local feature filtering for scalable and well-conditioned Random Feature Methods
In recent years, machine learning has emerged as a powerful tool for solving partial differential equations (PDEs), with randomized neural networks showing remarkable potential. These networks, typically shallow, differ from conventional approaches by randomizing all parameters except those in the final layer. Notably, by integrating techniques inspired by domain decomposition, they achieve improved local accuracy and computational efficiency. Following \cite{chen:2022:BTM}, we refer to these a…

Entropic approximations of the semigeostrophic shallow water equations
Jean-David Benamou, Colin J. Cotter, Jacob J. M. Francis, Hugo Malamut
https://arxiv.org/abs/2507.16415 ht…

Entropic approximations of the semigeostrophic shallow water equations
We develop a discretisation of the semigeostrophic rotating shallow water equations, based upon their optimal transport formulation. This takes the form of a Moreau-Yoshida regularisation of the Wasserstein metric. Solutions of the optimal transport formulation provide the shallow water layer depth represented as a measure, which is itself the push forward of an evolving measure under the semigeostrophic coordinate transformation. First, we propose and study an entropy regularised version of th…

High-Efficiency, High-Fidelity Charge Initialization of Shallow Nitrogen Vacancy Centers in Diamond
Marjana Mahdia, Artur Lozovoi, Jared Rovny, Zhiyang Yuan, Carlos A. Meriles, Nathalie P. de Leon
https://arxiv.org/abs/2506.00707

High-Efficiency, High-Fidelity Charge Initialization of Shallow Nitrogen Vacancy Centers in Diamond
Nitrogen vacancy (NV) centers in diamond exhibit long spin coherence times, optical initialization, and optical spin readout under ambient conditions, making them excellent quantum sensors. However, the conventional scheme for charge state initialization based on off-resonant green excitation results in significant state preparation errors, typically around 30%. One method for improving charge state initialization fidelity is to use multicolor excitation, which has been demonstrated to achieve …

Barron Space Representations for Elliptic PDEs with Homogeneous Boundary Conditions
Ziang Chen, Liqiang Huang
https://arxiv.org/abs/2508.07559 https://arxi…

Barron Space Representations for Elliptic PDEs with Homogeneous Boundary Conditions
We study the approximation complexity of high-dimensional second-order elliptic PDEs with homogeneous boundary conditions on the unit hypercube, within the framework of Barron spaces. Under the assumption that the coefficients belong to suitably defined Barron spaces, we prove that the solution can be efficiently approximated by two-layer neural networks, circumventing the curse of dimensionality. Our results demonstrate the expressive power of shallow networks in capturing high-dimensional PDE…

Fully implicit timestepping methods for the rotating shallow water equations
Werner Bauer, Colin J. Cotter
https://arxiv.org/abs/2508.02358 https://arxiv.o…

Fully implicit timestepping methods for the rotating shallow water equations
Fully implicit timestepping methods have several potential advantages for atmosphere/ocean simulation. First, being unconditionally stable, they degrade more gracefully as the Courant number increases, typically requiring more solver iterations rather than suddenly blowing up. Second, particular choices of implicit timestepping methods can extend energy conservation properties of spatial discretisations to the fully discrete method. Third, these methods avoid issues related to splitting errors …