A minimalistic approach to physics-informed machine learning using neighbour lists as physics-optimized convolutions for inverse problems involving particle systems (2023)
Attributed to:
A computing framework for Discrete Multiphysics
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1016/j.jcp.2022.111750
Publication URI: http://dx.doi.org/10.1016/j.jcp.2022.111750
Type: Journal Article/Review
Parent Publication: Journal of Computational Physics