The search for next-generation electronic materials often starts with studying the Fermi surface, which serves as a map of a ...

Can machine learning automatically detect important changes in a material’s Fermi surface from complex and noisy data?

PCA is an important tool for dimensionality reduction in data science and to compute grasp poses for robotic manipulation from point cloud data. PCA can also directly used within a larger machine ...

Tungsten's superior performance in extreme environments makes it a leading candidate for plasma-facing components (PFCs) in ...

A “ML-DFT-Experiment” integrated strategy accelerates the design of high-performance multi-principal alloy HER electrocatalysts via machine learning prediction. Density functional theory calculations ...