In a novel study, researchers from the Icahn School of Medicine at Mount Sinai introduced LoGoFunc, an advanced computational tool that predicts pathogenic gain- and loss-of-function variants ...

By minimizing this composite loss function, the neural network learns to approximate the solution to the PDE while adhering to the physical constraints. Solving the Black-Scholes Equation with PINNs ...

The physics-informed neural network (PINN) has drawn much attention as it can reduce training data size and eliminate the need for physics equation identification. This paper presents the ...

Public repository for the proposal “Physics-Informed Machine Learning Simulator for ... key parts of the widely used Weather Research and Forecasting WRF-SFIRE simulator by replacing its core ...