Our research spans areas of mathematical physics, quantum mechanics, numerical methods, programming, and the use of informatics and AI methods in materials research.
Ongoing research projects include the development of theoretical methods for the computational prediction of materials properties, execution of high-throughout calculations on supercomputers aimed at design of new materials, development of software for automated computation, analysis, and data curation in large scale databases, and the use of informatics and machine learning/AI-based methods on materials data.
