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Neural networks learn to speed up simulations

Published: 25 April 2022 Publication History

Abstract

Physics-informed machine learning is gaining attention, but suffers from training issues.

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  • (2024)Sequencing Initial Conditions in Physics-Informed Neural NetworksJournal of Chemistry and Environment10.56946/jce.v3i1.3453:1(98-108)Online publication date: 26-Mar-2024
  • (2024)Machine Learning for Road Vehicle AerodynamicsSAE Technical Paper Series10.4271/2024-01-2529Online publication date: 16-Apr-2024
  • (2024)Learning physical models that can respect conservation lawsPhysica D: Nonlinear Phenomena10.1016/j.physd.2023.133952457(133952)Online publication date: Jan-2024

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cover image Communications of the ACM
Communications of the ACM  Volume 65, Issue 5
May 2022
108 pages
ISSN:0001-0782
EISSN:1557-7317
DOI:10.1145/3533590
Issue’s Table of Contents
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 April 2022
Published in CACM Volume 65, Issue 5

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Cited By

View all
  • (2024)Sequencing Initial Conditions in Physics-Informed Neural NetworksJournal of Chemistry and Environment10.56946/jce.v3i1.3453:1(98-108)Online publication date: 26-Mar-2024
  • (2024)Machine Learning for Road Vehicle AerodynamicsSAE Technical Paper Series10.4271/2024-01-2529Online publication date: 16-Apr-2024
  • (2024)Learning physical models that can respect conservation lawsPhysica D: Nonlinear Phenomena10.1016/j.physd.2023.133952457(133952)Online publication date: Jan-2024

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