News
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 ...
14, the unknown functions to optimize are w, h, h η, and the trial space (also known as the hypothesis space in machine learning) for all 3 functions can be any machine-learning models. In this work, ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results