Using Hybrid Physics-Informed Neural Networks for Digital Twins in Prognosis and Health Management

Simulations are pervasive in every domain of science and engineering, but they often have constraints such as large computational times, limited compute resources, tedious manual setup efforts, and the need for technical expertise. Neural networks not only accelerate simulations done by traditional solvers, but also simplify simulation setup and solve problems not addressable by traditional … Continued...

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