ABSTRACT: Physics-informed deep learning has drawn tremendous interest in recent years to solve computational physics problems. whose basic concept is to embed physical laws to constrain/inform neural networks. with the need of less data for training a reliable model. This can be achieved by incorporating the residual of physics equations into the loss function. https://www.hcbcyouthleadersummit.com/product-category/balancing-nourshing/
Balancing Nourshing
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