Pei Sun

My work connects applied mathematics with the physical challenges of materials and battery manufacturing. I use computational models, experimental context, and data-driven methods to investigate the relationships between processing, microstructure, and properties.

Earlier research in particle-based modeling at Paris-Saclay and INRAE, and finite element modeling at PIMM, shaped my interest in moving between methods while staying grounded in the physical question.

A computational perspective

I am interested in how numerical models and machine learning can help us understand complex materials systems—and in keeping those methods connected to the underlying physics.

Education & research