Explores the Thomas-Fermi model in Density Functional Theory, discussing electron-electron interaction approximation and challenges in expressing kinetic energy.
Explores enhancing machine learning predictions by refining error metrics and applying constraints for improved accuracy in electron density predictions.
Explores quantum chemistry applications, emphasizing the role of electron density in predicting chemical properties and addressing challenges in catalyst design, solar energy conversion, and drug synthesis.