Workshop Details
Machine Learning and Informatics for Chemistry and Materials
06/25/2023 - 06/29/2023
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:

Telluride Intermediate School
721 W. Colorado Ave Telluride, CO 81435

Machine Learning and Informatics for Chemistry and Materials Registered Meeting Participants:
Participant Organization
Allen, Alice LANL
Anstine, Dylan Carnegie Mellon University
Aykol, Muratahan Google
Balcells Badia, David University of Oslo
Chen, Michael New York University
Kim, Seonah Colorado State University
Kulichenko, Maksim Los Alamos National Laboratory
Lindsey, Rebecca K. University of Michigan
Liu, Fang Emory University
Liu, Mingjie University of Florida
Lubbers, Nicholas Los Alamos National Laboratory
Mannodi Kanakkithodi, Arun Kumar Purdue University
Martinez, Todd Stanford University
Musaelian, Albert Harvard University
Nandy, Aditya MIT
Rotskoff, Grant Stanford University
Schwalbe-Koda, Daniel Lawrence Livermore National Lab
Schwalbe-Koda, Daniel [2nd Reservation] Lawrence Livermore National Lab
Sivaraman, Ganesh Argonne National Laboratory
Subramanyam, Aparna Los Alamos National Laboratory
Sutton, Christopher University of South Carolina
Thompson, Aidan P Sandia National Laboratories
Torrisi, Steven Toyota Research Institute
Varma, Sameer University of South Florida

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