webinar register page

Webinar banner
Energy Storage @PNNL Webinar Series: Machine Learning for Energy Storage
The current process for the discovery and design of materials to meet the needs of next-generation energy storage technologies is often limited by time- and resource-intensive trial-and-error approaches. The use of data-driven and physics-informed machine learning methods have the promise to significantly accelerate this process by enabling the virtual screening and design of materials with targeted properties. In this talk, I will highlight work performed under Pacific Northwest National Laboratory’s Energy Storage Materials Initiative to leverage such machine learning techniques to support the development process for electrolyte materials. In particular, I will discuss machine learning approaches for data extraction from literature, molecular property prediction, experimental design, and molecular inverse design.

Sep 22, 2022 11:00 AM in Pacific Time (US and Canada)

Webinar is over, you cannot register now. If you have any questions, please contact Webinar host: Lara Hastings.