Alexiadis, Alessio (2021) Code for "A minimalistic approach to physics-informed machine learning using neighbour lists as physics optimized convolutions for inverse problems involving particle systems".
Dataset Details
| Data creator(s): |
|
||||||
|---|---|---|---|---|---|---|---|
| Research Data Type: | Other | ||||||
| DOI: | https://doi.org/10.25500/edata.bham.00000744 | ||||||
| Publisher: | University of Birmingham | ||||||
| Funder: | Engineering and Physical Sciences Research Council | ||||||
| Keywords: | Python, PyTorch, Numba, Machine Learning, Molecular Dynamics, Smoothed Particle Hydrodynamics, Discrete Elemet Method | ||||||
| Managing organisational unit: | Colleges (2008 onwards) > College of Engineering & Physical Sciences | ||||||
| UoB School, Department or Institute: | School of Chemical Engineering | ||||||
| Date: | 3 December 2021 |
Administer Item