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 https://www.telluridescience.org/travel/families. Please contact Sara Friedberg at sara@telluridescience.org for more information.
Telluride Science & Innovation Center
300 S. Townsend St.
Telluride, CO 81435
Click Here for Directions
Workshop Price: $ 449.00
Early Bird Lodging Discount Available Until: 08/01/2024
A $100.00 discount is applied to your lodging cost when you register before 08/01/2024.
Cancellation Policy: Once a credit card has been charged, cancelled registrations will be subject to a cancellation fee. Registration fees will be automatically processed once registration is complete. A $25 cancellation fee will be retained from a registration refund. Lodging fee payments will be processed 60 days prior to arrival, and a $100 cancellation fee will apply if cancellations occur after a lodging fee payment is completed. Telluride Science can only guarantee a refund for the remaining lodging fees if requested prior to the cancellation deadline that is specific to each lodging provider. Telluride Science recommends that participants purchase travel insurance to protect against unforeseen, last-minute travel plan changes.Participant | Organization | ||||
Basdogan, Yasemin | University of Rochester | ||||
Carbone, Matthew | Brookhaven National Laboratory | ||||
DeCost, Brian | NIST | ||||
Gao, Wenhao | Massachusetts Institute of Technology | ||||
Goff, James | Sandia National Laboratories | ||||
Kabylda, Adil | University of Luxembourg | ||||
Kelley, Michelle | Rensselaer Polytechnic Institute | ||||
Krishnapriyan, Aditi | University of California, Berkeley | ||||
Kulichenko, Maksim | Los Alamos National Laboratory | ||||
Lindsey, Rebecca K. | University of Michigan | ||||
Lubbers, Nicholas | Los Alamos National Laboratory | ||||
Lupo-Pasini, Massimiliano | Oak Ridge National Laboratory | ||||
Miller, Benjamin Kurt | University of Amsterdam | ||||
Miranda, Raul | U.S. Dept. of Energy | ||||
Moore, Harry | University of Cambridge | ||||
Pakornchote, Teerachote | University of South Carolina | ||||
Paton, Robert | Colorado State University | ||||
Reed, Scott | University of Colorado Denver | ||||
Saidi, Wissam | National Energy Technology Lab | ||||
Torrisi, Steven | Toyota Research Institute | ||||
Tynes, Michael | University of Chicago | ||||
Vriza, Aikaterini | Argonne National Laboratory | ||||