Invited Talk @ MS&T2024: Deep Operator Learning for Battery Characterization: From Materials to Systems. Pittsburgh, PA, USA. October 8, 2024

Invited Talk @ IEEE ITEC 2024: Scientific Machine Learning for Battery Characterization and Management. Rosemont, IL, USA. June 20, 2024

WPI ME Graduate Seminar Talk by Dr. Wei Li: Scientific Machine Learning for Modeling Li-ion Battery. April 17, 2024

Invited Talk: Phase-Field DeepONet: Physics-informed deep operator neural network for fast simulations of pattern formation governed by gradient flows of free-energy functionals. ACS Fall 2023

MIT Energy Webinar: Modeling the Mechanics in Batteries: Safety, Reliability, and Lifetime. May 18, 2023

Seminar: Electro-Chemo-Mechanics in Solid-State Batteries. Department of Mechanical Engineering, University of Connecticut. December 2, 2022

Invited Talk: Energy-based Deep Operator Learning for Solving Battery Physics Equations.
Advanced Automotive Battery Conference, Hotel Del Coronado, San Diego, CA. December 5-8, 2022

Invited Talk at the mini-series on machine learning for battery aging and safety on BMWS. June 14, 2022 

Invited Talk at Georgia Tech, School of Mechanical Engineering. March 9, 2022 

Invited Talk at Northeastern University, Department of Mechanical & Industrial Engineering. March 1, 2022 

Invited Talk at UT Austin, Department of Mechanical Engineering. February 16, 2022 

Invited talk at Boston University, Mechanical Engineering and Electrical & Computer Engineering. February 1, 2022

Invited Talk at Rice University, CEE Graduate Seminar. January 28, 2022 

Invited Talk at U of Houston, Distinguished Mechanical Engineering Seminar. January 27, 2022 

Invited Talk at Univ. of Wisconsin - Madison, Dept of Mechanical Engineering. January 10, 2022 

Worcester Polytechnic Institute ME Graduate Seminar. December 1, 2021
Title: Intelligent Data-Physics Integration for Characterizing Electro-Chemo-Mechanical Systems

Automotive CAE Grand Challenge. October 19, 2021
Title: "Safety-Focused Characterization of Lithium-ion Batteries: From Micro Testing to Macro Modeling" 

Applied Energy Symposium MIT A+B. August 11-13, 2021
Title: "Mechanical Safety of Li-ion Batteries: Physics-Based Models, Data-Driven Approaches, and Their Intelligent Combination" 

2021 Virtual MRS Spring Meeting & Exhibit, April 22, 2021
Title: "Mechanical Modeling of Li-ion Batteries: from Physics-based to Data-Driven "

NREL Machine Learning and Batteries Workshop, March 25, 2021 
Title: "Safety-Focused Modeling of Li-ion Batteries: Physics-Based Models, Data-Driven Approaches, & Their Intelligent Combination" 

Texas A&M Ocean Engineering Seminar Series OCEN 481/681, March 17, 2021
Title: "Electro-Chemo-Mechanics of Li-ion Batteries: from Physics-based to Data-Driven "

Engineering and Applied Science Forum, October 4, 2020
Title: "A Physics-Guided Machine Learning Framework for Elastic Plates and Shells"

Steering Meeting of the MIT Industrial Battery Consortium. June 30, 2022 

Minisymposium: Data-Driven Approaches for Multiscale and/or Multiphysics Systems
19th U.S. National Congress on Theoretical and Applied Mechanics. Austin TX. June 19-24, 2022

Minisymposium: Large Deformation and Failure of Lithium-ion Batteries.
19th U.S. National Congress on Theoretical and Applied Mechanics. Austin TX. June 19-24, 2022 

Steering Meeting of the MIT Industrial Battery Consortium. November 9 & 10, 2021 

Interim Meeting of the MIT Industrial Battery Consortium. June 16-18, 2021
This is an internal meeting between our MIT team and the consortium members. External participants are welcome but invite-only.