AI town hall: ‘Molecules, Materials, and Machine Learning for Catalysis and Energy Storage’
On Thursday, June 27, 2019, Rajeev Assary (MSD) will present “Molecules, Materials, and Machine Learning for Catalysis and Energy Storage” at 2 p.m. in Building 241, Room A323, as part of the AI in science and engineering town hall meeting series, hosted by Physical Sciences and Engineering. All are welcome to attend.
The purpose of the town hall series is to build a community and a network of collaborators across divisions and directorates, to help catalyze collaborative projects involving development and use of AI in sciences and engineering. This will enable Argonne to capture major anticipated external funding in the scientific areas over the next five years. Ideas and discussions shared at these meetings will also help articulate a science-driven strategy for AI applications, and areas where Argonne should claim national and international leadership.
Each town hall meeting will last one hour including up to three 15-minute presentations by volunteers, followed by Q&A and discussions.
Interested in presenting?
We are looking for informal presentations on ideas that staff or postdocs would like to pursue, or that you think Argonne should pursue. Tell us why this is a worthwhile idea, and what skills or capabilities are needed to realize the project(s) you propose.
Presentation volunteers are asked to sign up here. Please indicate your preferred presentation date and a tentative title in the comments section. You are welcome to give as many presentations as you’d like, limit one presentation per person per meeting.
Suggestions for external speakers?
If you have suggestions for external speakers, or if you have any questions about the AI in science and engineering town hall series, contact Olle Heinonen.