Recent Publications | Seminar Announcement | Research Updates
[Meeting] The 2021 Interim Meeting of our Industrial Battery Consortium was held on June 16 (Eastern US & Europe) and June 17/18 (Western US & Asia)! 06/18/2021
[Guest Editor] I am co-editing an article collection in the journal Frontiers in Energy Research on the topic of "Physics-Based and Digital-Twin Modelling for Electrochemical Energy Storage." 04/19/2021
[Webinar] I will host a webinar for the Engineering and Applied Science Forum (EASF) on the topic of "Data-Driven Modeling of Batteries", 04/02/2021
[Webinar] I'm honored to give a talk today at the NREL Workshop on Machine Learning for Batteries, 03/25/2021
[Publication] Review Article on microstructural modeling of electrodes in Adv Energy Mater, 03/18/2021
Our review article entitled "Guiding the design of heterogeneous electrode microstructures for Li-ion batteries: microscopic imaging, predictive modeling, and machine learning" is just accepted by Advanced Energy Materials today. This a joint paper of UConn, Bazant Group, NREL, UCL, and the University of Pisa. Please check out our paper when it is online available!
[Webinar] I gave a talk at Texas A&M Ocean Engineering, 03/17/2021
Today, I gave a talk at the Texas A&M Ocean Engineering Seminar, entitled "Electro-Chemo-Mechanics of Li-ion Batteries: from Physics-Based to Data-Driven." I was joined by around 70 faculties and students. I also enjoyed the fundamental discussions after the talk!
[Publication] Our work on the mechanics of pure lithium published in Acta Materialia, 02/22/2021
Our paper entitled "Large-Deformation Plasticity and Fracture Behavior of Pure Lithium under Various Stress States" is accepted by Acta Materialia, the leading journal in metallic materials engineering and sciences. This study is a joint work of our team, Tasan group @ MIT DMSE, and Lian Group @ Aalto. Special thanks are due to our visiting student Tobias Sedlatschek! This study has been presented at several conferences, including the 2020 SES Technical Meeting, in which we won the "Most Watched Video Presentation" Award.
[Publication] Perspective paper on data-driven safety published in Joule, 01/05/2021
Our Perspective paper entitled "The Application of Data-Driven Methods and Physics-Based Learning for Improving Battery Safety" is accepted by Joule, the leading journal in the energy field. This is a joint paper of our team, NREL, Tsinghua, and Imperial College London. Thank you Donal for leading this paper!