Kamal Choudhary

LLMs showcase potential to advance chemistry and materials science through innovative projects.

A platform for enhancing benchmarking in materials science research.

Machine learning improves predictions of semiconductor defects for better material performance.

OPTIMADE connects users to essential materials data through a standardized API.

New datasets and machine learning techniques enhance understanding of high-entropy materials.

Insights on the challenges of machine learning in predicting material properties.

Study explores how strain affects the magnetic properties of 1T-VSe.

CHIPS-FF is changing how researchers evaluate material behaviors for semiconductors.