When you swing a tennis racket or catch a set of keys, you aren’t thinking about wind resistance or gravity. Yet, to perform that motion, your brain is solving a massive physics problem in ...

Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...

The workings of electricity are often introduced to students by way of a comparison to water, with voltage analogous to ...

Abstract: There has been significant recent work on solving PDEs using neural networks on infinite dimensional spaces. In this talk we consider two examples. First, we prove that transformers can ...

Partial differential equations (PDEs) are workhorses of science and engineering. They describe a vast range of phenomena, from flow around a ship’s hull, to acoustics in a concert hall, to heat ...

Abstract: Modelica is a new object-oriented multi-domain modeling and simulation language and used for solving large, complex, and heterogeneous physical systems with differential-algebraic equations ...

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Dear author, hello again. I am very grateful for developing this library, and I also appreciate your previous response to my question. I am now trying to implement the topology optimization of a ...

Abstract: Solving the coupled partial differential equations (PDEs) that govern the dynamics of multiphysics systems is both important and challenging. Existing numerical methods such as the finite ...

Tom Bowen is a senior editor who loves adventure games and RPGs. He's been playing video games for several decades now and writing about them professionally since 2020. Although he dabbles in news and ...