Application of Physics-Informed Neural Networks for Simulating Mass-Spring-Damper Systems
Arup Kumar Sahoo,
Sandeep Kumar,
S. Chakraverty
Abstract:Dynamical problems are generally governed by a set of linear/non-linear differential equations (DEs). A large amount of prior physical information in the form of DEs plays an important role in simulation of dynamical systems. However, the traditional data-hungry machine learning models fail to express insightful scientific information from the data. Most of the implementations of neural networks are to perform non-linear mapping from input space to target space. However, Physics-informed neural networks (PINNs… Show more
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