Vision: Invent and Optimize Materials, Processes and Devices to Accelerate the Transition to Sustainable Transportation, Aviation, Chemicals and Fuels.
Our group’s research areas span a wide and always-evolving range, but all build on core expertise in materials science, electrochemistry, and computational modeling. Some representative research areas are listed here.
Our group is primarily computational/theoretical, with a small but growing experimental presence in collaboration with Prof. Jay Whitacre, focused on integrating machine learning approaches with automated experimentation. We have a strong commitment to using and contributing to open-source software development efforts. We’re always learning more, but the current methods/tools most commonly used in the group are summarized here.
We work toward improving performance, cost, and safety of virtually every kind of electrochemical system at every scale, from the atomic to the national. Some of the goals and vision that drive our research are listed here.
Our group is involved in several efforts to spur community-building and research dissemination efforts.
Prof. Viswanathan runs the Battery Modeling Webinar Series (BMWS). Find more information here.
Dilip has coordianted a Scientific Machine Learning (SciML) course, consisting of talks along with interactive code demonstrations. For more details and schedule, visit this page.