Results 201 to 210 of about 718 (256)

Deformations of acid-mediated invasive tumors in a model with Allee effect. [PDF]

J Math Biol
Carter P, Doelman A, van Heijster P, Levy D, Maini P, Okey E, Yeung P.   +6 more
europepmc   +1 more source

ChatCFD: A Large Language Model‐Driven Agent for End‐to‐End Computational Fluid Dynamics Automation with Structured Knowledge and Reasoning

Advanced Intelligent Discovery, EarlyView.
Chat computational fluid dynamics (CFD) introduces an large language model (LLM)‐driven agent that automates OpenFOAM simulations end‐to‐end, attaining 82.1% execution success and 68.12% physical fidelity across 315 benchmarks—far surpassing prior systems.
E Fan, Kang Hu, Zhuowen Wu, Jiangyang Ge, Jiawei Miao, Yuzhi Zhang, He Sun, Weizong Wang, Tianhan Zhang   +8 more
wiley   +1 more source

Mixed problems for degenerate hyperbolic equations of second order

Proceedings of the Japan Academy, Series A, Mathematical Sciences, 1969
openaire   +2 more sources

RAMS: Residual‐Based Adversarial‐Gradient Moving Sample Method for Scientific Machine Learning in Solving Partial Differential Equations

Advanced Intelligent Discovery, EarlyView.
We propose a residual‐based adversarial‐gradient moving sample (RAMS) method for scientific machine learning that treats samples as trainable variables and updates them to maximize the physics residual, thereby effectively concentrating samples in inadequately learned regions.
Weihang Ouyang, Min Zhu, Wei Xiong, Si‐Wei Liu, Lu Lu   +4 more
wiley   +1 more source

Dynamic Balance: A Thermodynamic Principle for the Emergence of the Golden Ratio in Open Non-Equilibrium Steady States. [PDF]

Entropy (Basel)
Ruiz A.
europepmc   +1 more source

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

Advanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source

Planar hyperbolic polaritons in 2D van der Waals materials. [PDF]

Nat Commun
Wang H, Kumar A, Dai S, Lin X, Jacob Z, Oh SH, Menon V, Narimanov E, Kim YD, Kim YD, Wang JP, Avouris P, Martin Moreno L, Caldwell J, Low T.   +14 more
europepmc   +1 more source

Bayesian optimization of Fisher Information in nonlinear multiresonant quantum photonics gyroscopes. [PDF]

Nanophotonics
Sun M, Kovanis V, Lončar M, Lin Z.
europepmc   +1 more source

Time Functions on Lorentzian Length Spaces. [PDF]

Ann Henri Poincare
Burtscher A, García-Heveling L.
europepmc   +1 more source

Computation of simple invariant solutions in fluid turbulence with the aid of deep learning. [PDF]

Nonlinear Dyn
Page J.
europepmc   +1 more source