Physics-Informed Neural Network for Unreacted-Core Shrinking Model of Coal Gasification

Physics-informed neural network (PINN) has achieved success in many science and engineering disciplines by encoding physical laws into the loss functions of the neural network. Compared with traditional numerical method, PINN transformed the problem of solving differential equations into the optimiz...

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Auteurs principaux: Ming Jian Li, Zengrong Su, Chang He, Bingjian Zhang, Qinglin Chen
Format: article
Langue:EN
Publié: AIDIC Servizi S.r.l. 2021
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Accès en ligne:https://doaj.org/article/2dd7470c37d64f4389bfa627e61f6f2b
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