machine learning, and experiment synthesis. Physical models such as thermodynamics and kinetics can be integrated into ML models as expert knowledge, effectively improving model performance and ...

The input (correlation configurations) is fed into a system of interconnected nodes known as a neural network, giving a series of outputs telling us which phase the configuration belongs to.

A new “periodic table for machine learning,” is reshaping how researchers explore AI, unlocking fresh pathways for discovery.

A new scientific machine learning framework developed by Professors Horacio D. Espinosa, Sridhar Krishnaswamy, and ...