Battery Seminar 2026
- July 14th-16th, 2026
- San Jose, California
Schrödinger is excited to be participating in the Battery Seminar 2026 conference taking place on July 14th – 16th in San Jose, California. Join us for a presentation by Garvit Agarwal, Principal Scientist II, Materials Science Applications Science at Schrödinger, titled “Integrating Physics-Based Simulations and Machine Learning to Fast-Track Battery Materials Innovation.”
Integrating Physics-Based Simulations and Machine Learning to Fast-Track Battery Materials Innovation
Speaker:
Garvit Agarwal, Ph.D.
Scientific Lead, Energy Storage Materials Science Group, Schrödinger
Abstract:
Developing next-generation batteries requires deep insight into complex phenomena like ion transport and the SEI. Integrated physics-based modeling and machine learning approaches are revolutionizing the development of next-generation battery chemistries. We demonstrate how ML Force Fields and advanced ML models can rapidly predict material properties, significantly reducing R&D timelines for high-performance energy storage systems.