A discrete element solution method embedded within a Neural Network

This paper introduces a novel methodology, the Neural Network framework for the Discrete Element Method (NN4DEM), as part of a broader initiative to harness specialised AI hardware and software environments, marking a transition from traditional computational physics programming approaches. NN4DEM e...

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Vydané v:	Powder technology Ročník 448; s. 120258
Hlavní autori:	Naderi, Sadjad, Chen, Boyang, Yang, Tongan, Xiang, Jiansheng, Heaney, Claire E., Latham, John-Paul, Wang, Yanghua, Pain, Christopher C.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.12.2024
Predmet:	computer software Discrete Element Method environment GPU-accelerated computing Large computations Neural network neural networks Partial differential equations particles physics powders seeds solutions testing weight AI Large computations Neural network Partial differential equations Discrete Element Method GPU-accelerated computing
ISSN:	0032-5910
On-line prístup:	Získať plný text
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