Allmendinger, T. (2025) A Planar Atom Model of Helium Based on Well-Defined Electron Trajectories. Journal of Applied ...

An advanced reasoning AI model developed by the company's DeepMind lab earned a gold medal score at the International ...

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential ...

Hannah Cairo found herself stuck on a problem that wouldn’t leave her mind. It wasn’t a regular homework assignment—it was a ...

This paper establishes a connection between non-convex optimization and nonlinear partial differential equations (PDEs). We interpret empirically successful relaxation techniques motivated from ...

benchmark deep-learning pytorch scientific-computing partial-differential-equations navier-stokes pde pde-solver navier-stokes-equations fno cno neural-operator ml4physics neural-operators ml4science ...

Learning-based partial differential equations (PDEs), which combine fundamental differential invariants into a nonlinear regressor, have been successfully applied to several computer vision and image ...