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Physics-informed neural networks for solving Navier–Stokes equations. Physics-informed neural networks (PINNs), [1] also referred to as Theory-Trained Neural Networks (TTNs), [2] are a type of universal function approximators that can embed the knowledge of any physical laws that govern a given data-set in the learning process, and can be described by partial differential equations (PDEs).
Elmer is a computational tool for multi-physics problems. It has been developed by CSC [2] ... Elmer FEM solver is free and open-source software, ...
A deep learning system was reported to learn intuitive physics from visual data (of virtual 3D environments) based on an unpublished approach inspired by studies of visual cognition in infants. [ 40 ] [ 39 ] Other researchers have developed a machine learning algorithm that could discover sets of basic variables of various physical systems and ...
General purpose, includes 2D and 3D magnetics solvers, both static and harmonic. 3D solver is based on the Whitney AV formulation of Maxwell's equations. VSimEM: Commercial Yes Yes Yes Yes Yes Automatic, variable mesh FDTD, PIC, finite volume: Simulating electromagnetics, and electrostatics in complex dielectric and metallic environments.
A physicist considers whether artificial intelligence can fix science, regulation, and innovation.
The 2024 Nobel Prize in physics has been awarded to John Hopfield and Geoffrey Hinton for their fundamental discoveries in machine learning, which paved the way for how artificial intelligence is ...
FEA, Multi-physics, Implict & Explict. TriMech Group: 2025: 1979: Linux, Windows: Agros2D: Multiplatform open source application for the solution of physical problems based on the Hermes library: University of West Bohemia: 3.2: 2014-03-03: GNU GPL: Free: Linux, Windows: CalculiX: It is an Open Source FEA project. The solver uses a partially ...
The company’s new simulation AI model, built on NVIDIA Modulus, learned the relationships between airflow fields and car geometry based on training data generated from its GPU-accelerated CFD solver. The model runs simulations orders of magnitude faster than the solver itself, enabling real-time aerodynamic flow simulation that is visualized ...
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