O. Anatole von Lilienfeld

Exploring how antisymmetric perturbations affect energy levels in chemical compounds.

New methods improve speed and accuracy in chemical structure determination.

Using technology to streamline data collection in chemical studies.

A new method enhances efficiency in data collection for scientific machine learning.

Machine learning enhances accuracy in predicting chemical properties using adaptive hybrid density functionals.

Research highlights machine learning's application in studying protein mutations and molecular properties.

Researchers use machine learning to identify materials for high-temperature superconductivity.

Explore a novel method for estimating the energy of diatomic molecules.

cMBDF offers efficient and accurate modeling for chemical properties with reduced data needs.

Researchers investigate molecules to improve battery efficiency and longevity.