📣 Try out the NEW Gateway to Research and let us know what you think.

We're looking for users to test the new service during August and September and share their feedback. Express your interest by completing this short form.

A minimalistic approach to physics-informed machine learning using neighbour lists as physics-optimized convolutions for inverse problems involving particle systems (2023)

First Author: Alexiadis A
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