• Invited Talk: Electro-Chemo-Mechanics in Solid-State Batteries: From Physics-based Modeling to Scientific Machine Learning. Seminar in the School of Vehicle and Mobility, Tsinghua University. March 7, 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" 

• 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"

• Poster by Junning Jiao: Void Evolution on the Li-Solid Electrolyte Interface in Solid-State Batteries: A Parametric Study Under Varied Mechanical and Electrochemical Conditions, the 245th ECS Meeting. May 28, 2024

• Poster by Dr. Ruqing Fang: A Large-Deformation Phase-Field Model for Characterizing Electro-Chemo-Mechanical Failure Mechanisms at Li/Solid Electrolyte Interface, the 245th ECS Meeting. May 27, 2024

• Mechano-electrochemical impedance spectroscopy.

Presenter: Dr. Ruqing Fang
NEW.Mech 2024, Boston MA. May 24, 2024

• Seeking the most Informative design of Test Specimens for Learning Constitutive Models.

Presenter: Dr. Royal Ihuaenyi
NEW.Mech 2024, Boston MA. May 24, 2024

• Symposium: Data-Driven Approaches for Complex Multiphysics Systems, Structures, and Materials.
  Society of Engineering Science Annual Technical Meeting, College Station, TX. October 16 - 19, 2022

• 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.