General information: Usually meetings take place on Tuesdays at 2pm in B52 at SLAC, either in Kings River (room 306) or American River (108) (SLAC meeting rooms), but check schedule below for details.  To join the mailing list either email Daniel Ratner (dratner at slac) or directly join the AI-AT-SLAC list-serv at listserv.slac.stanford.edu.  Please contact Daniel Ratner if you are interested to give a talk!

Upcoming Seminar

Date: Jan 17, 2017

Speaker: Austin Sendek

Title: Tractable quantum leaps in battery materials and performance via machine learning

Abstract: The realization of an all solid-state lithium-ion battery would be a tremendous development towards remedying the safety issues currently plaguing lithium-ion technology. However, identifying new solid materials that will perform well as battery electrolytes is a difficult task, and our scientific intuition on whether a material is a promising candidate is often poor. Compounding on this problem is the fact that experimental measurements of performance are often very time- and cost intensive, resulting in slow progress in the field over the last several decades. We seek to accelerate discovery and design efforts by leveraging previously reported data to train learning algorithms to discriminate between high- and poor performance materials. The resulting model provides new insight into the physics of ion conduction in solids and evaluates promise in candidate materials nearly one million times faster than state-of-the-art methods. We have coupled this new model with several other heuristics to perform the first comprehensive screening of all 12,000+ known lithium-containing solids, allowing us to identify several new promising candidates.

Date: TBD

Speaker: Felix Heide

Title: ProxImaL: Efficient Image Optimization using Proximal Algorithms

...