June 28, 2024, 3:12 p.m. | Kamil Oster

Towards AI - Medium pub.towardsai.net

Physics Informed Neural Networks — Case Study of Quantitative Structure-Property Relationships

Source: (2) Physics-Informed Neural Networks (PINNs): Bridging Deep Learning and Physical Laws | LinkedIn

Hi!

I came across the term Physics-Informed Neural Networks (PINNs). Please follow me on this journey to explore one of the case studies I have decided to investigate further.

First things first — what are PINNs?

Neural Networks are thought to be black-box models (data come in and come out without much information as to …

case case studies case study computational chemistry deep learning explore journey laws multilayer-perceptron networks neural-network-algorithm neural networks physics physics-informed physics-informed-learning property quantitative relationships studies study

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