Haoyuan Ma

My current research interest focuses on two-dimensional (2D) and ferroelectric (FE) materials; specifically, evaluating their potential in neuromorphic computing systems using methods based on computational condensed matter physics and artificial neural network (ANN) modeling.

Before joining Bennett Lab, I was a Ph.D. student at SPMS Lab at CentraleSupélec, Université Paris-Saclay, investigating the microscopic origin of neuromorphic behaviors in relaxor ferroelectrics (RFEs) using Monte-Carlo (MC) and Molecular Dynamics (MD)-based effective Hamiltonian approach.

I search for promising materials that can improve energy efficiency of computing systems. This can help mitigating the environmental problems caused by the predatory data center expansion in this AI era.