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A physics-informed neural network technique based on a modified loss function for computational 2D and 3D solid mechanics

Computational Mechanics, 2022
Jinshuai Bai   +4 more
semanticscholar   +1 more source

Computational physics: a perspective

Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences, 2002
Computing comprises three distinct strands: hardware, software and the ways they are used in real or imagined worlds. Its use in research is more than writing or running code. Having something significant to compute and deploying judgement in what is attempted and achieved are especially challenging. In science or engineering, one must define a central
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Simulating physics with computers

International Journal of Theoretical Physics, 1982
This chapter describes the possibility of simulating physics in the classical approximation, a thing which is usually described by local differential equations. But the physical world is quantum mechanical, and therefore the proper problem is the simulation of quantum physics. A computer which will give the same probabilities as the quantum system does.
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Computations in fusion Physics

Applied Mathematics and Computation, 1986
The modern approach to nuclear fusion uses inertial confinement by a high-power laser beam, and the computer codes used to simulate the plasma behaviour now contain a lot of physics. Nonlinear interaction of a laser with a turbulent plasma is a major topic of experimental and numerical study. Simulation can be on either the particle or the hydrodynamic
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Physical Computation

Abstract This chapter is a primer on physical computation. It distinguishes between abstract and concrete computation. It introduces the notion of simulation of one physical system by another and the more specific notion of computational simulation of a physical system by a computing system.
Neal G Anderson, Gualtiero Piccinini
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Computational Physics

Computational Physics, 1993
Pedro L. Garrido, JoaquĆ­n Marro
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The imperative of physics-based modeling and inverse theory in computational science

Nature Computational Science, 2021
K. Willcox, O. Ghattas, P. Heimbach
semanticscholar   +1 more source

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