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. Three key challenges in employing AI techniques to materials are: choosing effective descriptors for materials and choosing algorithm/work-flow during AI design and understanding the uncertainty in AI predictions. The idea of including physics-based models in the AI framework is also fascinating. Lastly, 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.
Topics addressed in this workshop will include (but not be limited to):
Some of the Invited speakers:
Detailed webpage: https://www.ctcms.nist.gov/~knc6/aims/upcoming.html
If you are not registered, you will not be allowed on site. Registered attendees will receive security and campus instructions prior to the workshop.
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.
*New Visitor Access Requirement: Effective July 21, 2014, under the REAL ID Act of 2005, agencies, including NIST, can only accept a state-issued driver's license or identification card from states that are REAL ID compliant or have an extension. See the Department of Homeland Security (DHS) site for the current compliance list.
NIST currently accepts other forms of federally issued identification in lieu of a state-issued driver's license, such as a valid passport, passport card, DOD's Common Access Card (CAC), Veterans ID, Federal Agency HSPD-12 IDs, Military Dependents ID, Transportation Workers Identification Credential (TWIC), and TSA Trusted Traveler ID.