Wei Li

Wei Li is a Research Scientist in the Department of Mechanical and Industrial Engineering at Northeastern University. His research focuses on mechanics informatics, battery technology, and materials science, with applications in energy storage systems and failure analysis. He has been recognized in the 2024 and 2023 Stanford University Annual Assessments as a top 2% most-cited scientist in his field.

His work combines computational modeling, machine learning, and experimental techniques to study electrochemical-mechanical interactions in batteries, particularly solid-state systems. Key areas include battery safety, interface stability, and material degradation mechanisms. He has developed novel methods like Mechanics Informatics and Mechano-Electro-Chemical Impedance Spectroscopy (MEIS) for advanced analysis.

• Awards: Top 2% most-cited scientist (2023, 2024)
• Research Themes: Solid-state batteries, phase-field modeling, physics-informed AI, and battery failure mechanisms

His contributions bridge multi-scale modeling (from particle to electrode levels) and experimental validation, with applications in improving battery lifespan, safety, and performance. Collaborative efforts include digital twin frameworks for material design and optimizing test specimen design for constitutive modeling.