Workshop Details
Machine Learning and Informatics for Chemistry and Materials (IN PERSON Participation)
10/03/2022 - 10/07/2022
Meeting Description:

In recent years the field of machine learning has seen an incredible surge of interest. From image classifiers to board games, machine learning and big data and internet are making large impacts in nearly every field. Chemistry and Materials science is no different. Machine learning and informatics techniques have demonstrated strong success with property classification and materials design, facilitating extremely high throughput screening methods for understanding complex chemical processes and for formulating materials with desirable properties. Despite the rate of advancement in this field, groundbreaking potential of these approaches is yet to be realized. Moreover, there are few or no conferences dedicated to the application of these methods to chemical and material problems. In order to stimulate further improvements in the field, we propose a workshop including researchers involved in development of new algorithms and applications of such methodologies to problems in chemistry and materials.


We wish to ensure an intimate workshop setting, with no more than 20 to 25 participants. If you are interested in attending, but have not received an invitation, please contact the workshop organizer before registering.

TSRC is about expanding the frontiers of science, exploring new ideas, and building collaborations. The workshop schedule will allow for substantial unstructured time for participants to talk and think. All participants are expected to stay for the entire duration of the workshop.

Scientists are encouraged to consider bringing family or friends. There is more information on childcare, camps, and family activities on TSRC's website at Please contact Sara Friedberg at for more information.

Supporting Files:

Meeting Venue:

The Depot
300 S. Townsend St. Telluride, CO 81435

Machine Learning and Informatics for Chemistry and Materials (IN PERSON Participation) Registered Meeting Participants:
Participant Organization
Carbone, Matthew Brookhaven National Laboratory
Coley, Connor MIT
Fedik, Nikita Los Alamos National Laboratory
Gomes, Gabe Carnegie Mellon University
Habib, Adela Los Alamos National Laboratory
Krishnapriyan, Aditi University of California, Berkeley
Kulichenko, Maksim Los Alamos National Lab
Lopez-Bezanilla, Alejandro Los Alamos Nat'l Lab
Lubbers, Nicholas Los Alamos National Laboratory
Meller, Artur Washington University in St. Louis
Nebgen, Ben Los Alamos National Laboratory
Paton, Robert Colorado State University
Saidi, Wissam National Energy Technology Lab
Schwalbe-Koda, Daniel Lawrence Livermore National Lab
St. John, Peter National Renewable Energy Lab
Sutton, Christopher University of South Carolina
Taylor, Michael Gilbert Los Alamos National Laboratory
Thuerlemann, Moritz ETH Zurich
White, Andrew University of Rochester
Zhang, Yang University of Illinois at Urbana-Champaign

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