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Workshop Artificial Intelligence for Materials Science (AIMS)

JARVIS

Materials Genome Initiative (MGI) promises to expedite materials discovery through high-through computation and high-throughput experiments. While the MGI effort has been successful to screen interesting materials among thousands of materials, the possible materials can span up to 10100 limiting the current MGI philosophy.

One of the possible approaches to deal with this problem is using artificial-intelligence (AI) tools such as machine-learning, deep-learning and various optimization techniques to efficiently evaluate materials performance. Although AI has been very successful in fields such as voice-recognition, self-driving cars, language translation etc., its applicability to materials design is still in its developing phase. Two key challenges in employing AI techniques to materials are: choosing effective descriptors for materials and choosing algorithm/work-flow during AI design. The idea of including physics-based models in the AI framework is also fascinating. Lastly, uncertainty quantification in AI based predictions for material properties and issues related to building infrastructure for disseminating AI knowledge are of immense importance for making AI based investigation of materials successful. This workshop is intended to cover all the above-mentioned challenges. To make the workshop as effective as possible we plan to mainly focus on inorganic solid-state materials, but are not limited by it.

Tentative Schedule

Topics addressed in this workshop will include:

- Application of classification/regression techniques

- Application of physics-based constraints

- Selection and importance of features/descriptors

- Comparison metrics of AI techniques

- Challenges applying AI to materials

- Dataset and tools for employing AI

- Integrating experiments with AI techniques

- Using AI to develop classical force-fields

Some of the eminent speakers include:

Gerbrand Ceder, University of California, Berkeley

Chris Wolverton, Northwestern University

Ichiro Takeuchi, University of Maryland

Logan Ward, University of Chicago

Anubhav Jain, Lawrence Berkeley National Laboratory

Evan Reed, Stanford University

Richard Hennig, University of Florida

Tim Mueller, Johns Hopkins University

Yuri Mishin, George Mason University

Rampi Ramprasad, Georgia Tech

Noa Marom, Carnegie Mellon University

Ankit Agrawal, Northwestern University

Kamal Choudhary, Aaron Gilad Kusne, Jason Hattrick-Simpers, NIST

NON U.S. CITIZENS PLEASE NOTE: All foreign national visitors who do not have permanent resident status and who wish to register for the above meeting must supply additional information. Failure to provide this information prior to arrival will result, at a minimum, in significant delays in entering the facility. Authority to gather this information is derived from United States Department of Commerce Department Administrative Order (DAO) number 207-12.

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Acceptable Photo Identification:
For Non-US Citizens: Valid passport for photo identification
For US Permanent Residents: Permanent Resident/Green card for photo identification

Created February 5, 2018, Updated July 5, 2018