Constructing custom thermodynamics using deep learning

Constructing custom thermodynamics using deep learning

One of the most exciting applications of artificial intelligence is automated scientific discovery based on previously amassed data, coupled with restrictions provided by known physical principles, including symmetries and conservation laws. Such automated hypothesis creation and verification can as...

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Bibliographic Details
Main Authors: Chen, Xiaoli, Soh, Beatrice W., Ooi, Zi-En, Vissol-Gaudin, Eleonore, Yu, Haijun, Novoselov, Kostya S., Hippalgaonkar, Kedar, Li, Qianxiao
Other Authors: School of Materials Science and Engineering
Format: Article
Language:English
Published: 2024
Subjects:
Engineering
Applied field
Dissipative systems
Online Access:https://hdl.handle.net/10356/176204
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Institution: Nanyang Technological University
Language: English

Internet

https://hdl.handle.net/10356/176204

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