Artur Lyssenko


2022: BS Chemistry UC Berkeley

Background and Research Interests:

At Berkeley I worked on the statisctical mechanics of perovskites confined in nanoribbons, investigation of positive binding energies for biexcitons in perovskites using RPMD, and electrochemistry of twisted bilayer graphene. My other research experience includes developing electronic structure code for periodic boundary conditions as well as developing novel MC sampling schemes for excitonic states. My current research interests are using machine learning to improve polarizable forcefields for all atom simulation of electroactive organics.