The neural particle method – an updated Lagrangian physics informed neural network for computational fluid dynamics
| Author: | Henning Wessels, Christian WeißenfelsORCiDGND, Peter Wriggers |
|---|---|
| Frontdoor URL | https://opus.bibliothek.uni-augsburg.de/opus4/96331 |
| ISSN: | 0045-7825OPAC |
| Parent Title (English): | Computer Methods in Applied Mechanics and Engineering |
| Publisher: | Elsevier BV |
| Type: | Article |
| Language: | English |
| Year of first Publication: | 2020 |
| Publishing Institution: | Universität Augsburg |
| Release Date: | 2022/06/27 |
| Tag: | Computational Mechanics; Computer Science Applications; General Physics and Astronomy; Mechanical Engineering; Mechanics of Materials |
| Volume: | 368 |
| First Page: | 113127 |
| DOI: | https://doi.org/10.1016/j.cma.2020.113127 |
| Institutes: | Mathematisch-Naturwissenschaftlich-Technische Fakultät |
| Mathematisch-Naturwissenschaftlich-Technische Fakultät / Institut für Materials Resource Management | |
| Mathematisch-Naturwissenschaftlich-Technische Fakultät / Institut für Materials Resource Management / Professur für Data-driven Computational Materials Science and Engineering |
