Research Interests
Electronic structure theory
Equivariant graph neural networks
Integrated ML and DFT workflows
Machine learning Hamiltonians
Biography
Valdas Vitartas is a PhD student working at the intersection of electronic structure theory and machine learning. He is investigating and developing machine learning models and workflows to accelerate DFT calculations by predicting Hamiltonian matrices.
Education
MChem in Chemistry
University of Oxford
2023