SHEN Lei

SHEN Lei is a researcher at the National University of Singapore (NUS), affiliated with the Department of Physics. With a PhD in Physics from NUS, he specializes in Multiscale Modeling and Simulation and Materials Informatics, leveraging machine learning and computational methods for advanced materials discovery.

• Research Focus: Density functional theory, molecular dynamics, finite element analysis, and data-driven design of materials.
• Teaching: Modules include Mechanics and Waves (PC1433), Applied Quantum Mechanics (PC2130B), and Mechanical Properties of Materials (ESP2109).

His work spans spintronics, ferroelectricity, and energy storage materials, with recent publications on interatomic potentials, sliding heterostructures, and battery anodes. He has received the Teaching Commendation Award and declined the Lee Kuan Yew Postdoctoral Fellowship.

Notable Trends: Recent articles emphasize machine learning in materials science, van der Waals heterostructures, quantum transport, and medical image analysis. Subfields include Rashba spin-orbit coupling, piezoelectric tensor modeling, and defect-informed neural networks.

• Scientific Awards:
  • Teaching Commendation Award (AY15/16; AY16/17)
  • Lee Kuan Yew Postdoctoral Fellowship (2014) (declined)