A minimalistic approach to physics-informed machine learning using neighbour lists as physics-optimized convolutions for inverse problems involving particle systems (Q2106973)
From MaRDI portal
 | This is the item page for this Wikibase entity, intended for internal use and editing purposes. Please use this page instead for the normal view: A minimalistic approach to physics-informed machine learning using neighbour lists as physics-optimized convolutions for inverse problems involving particle systems |
scientific article; zbMATH DE number 7625419
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | A minimalistic approach to physics-informed machine learning using neighbour lists as physics-optimized convolutions for inverse problems involving particle systems |
scientific article; zbMATH DE number 7625419 |
Statements
A minimalistic approach to physics-informed machine learning using neighbour lists as physics-optimized convolutions for inverse problems involving particle systems (English)
0 references
29 November 2022
0 references
physics-informed machine learning
0 references
molecular dynamics
0 references
smoothed particle hydrodynamics
0 references
discrete element method
0 references
0 references
0 references
