1. Developing machine learning methods(Artificial neural networks) for chemical problems.
2. Modelling of atomic enviroments
3. Developing sampling algorithms
4. Using hardware technologies to parallelize our programs that will help to extend the above methods to experimentally relevant sizes.
Dr. Satya S. Bulusu
Chemistry (Theoretical and Computational Chemistry)