Workshop Details
Machine Learning and Informatics for Chemistry and Materials
09/30/2019 - 10/04/2019
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. If you have registered for a meeting you were not invited to, you may be subject to a $100 fee.

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. Telluride offers a number of options for children's camps (including Telluride Academy, Aha School for the Arts, and Pinhead Institute). There is more information on childcare, camps, and family activities on TSRC's website. Feel free to contact TSRC's staff to help with any planning and/or coordinating care.

Meeting Venue:

Telluride Firehouse Meeting Room
131 West Columbia Ave, Telluride CO 81435

Machine Learning and Informatics for Chemistry and Materials Registered Meeting Participants:
Participant Organization
Barros, Kipton Los Alamos National Lab
Chakraborty, Arindam Syracuse University
Gifford, Brendan J. Los Alamos National Laboratory
Gobbi, Alberto Genentech
Goodpaster, Jason University of Minnesota Twin Cities
Hammerschmidt, Thomas ICAMS, Ruhr University Bochum
Isayev, Olexandr University of North Carolina at Chapel Hill
Janet, Jon Paul MIT
Kim, Seonah National Renewable Energy Laboratory
Lewis, James P. West Virginia University
Li, Ying Wai Los Alamos National Laboratory
Lin, Ping University of Florida
Lopez-Bezanilla, Alejandro Los Alamos Nat'l Lab
Lubbers, Nicholas Los Alamos National Laboratory
Mar, Arthur University of Alberta
Miranda, Raul U.S. Dept. of Energy
Nebgen, Ben Los Alamos National Laboratory
Paton, Robert Colorado State University
Pope, Jenna Pacific Northwest National Lab
Schrier, Joshua Fordham University
Sifain, Andrew US Army Research Laboratory
Smith, Justin S Los Alamos National Laboratory
Tang, Yu-Hang Lawrence Berkeley National Laboratory
Tkatchenko, Alexandre University of Luxembourg
Tretiak, Sergei Los Alamos National Laboratory
Varma, Sameer University of South Florida
Yang, Ping Los Alamos National Laboratory
Yaron, David Carnegie Mellon University
Zubatyuk, Roman University of North Carolina at Chapel Hill

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