(MURI17) Scientific Autonomous Reasoning Agent (SARA): Integrating Materials Theory, Experiment and Computation
Abstract
Materials discovery and development provides unique challenges and opportunities for thenext generation of Artificial Intelligent (AI) systems. We have recently witnessed an exponentialgrowth in the generation of theoretical and experimental materials data. The extraction ofactionable knowledge from this rich data has emerged as a grand challenge that invites not onlyapplication but also advancement of the state-of-the-art in computational science. Yet there is asubstantial barrier to the integration of computation and materials science due to the need fordomain-specific knowledge and incorporation of heterogeneous data. These challenges offeropportunities to make foundational advancements in both fields; materials developmentincorporating theory and experiment is the ideal platform for addressing these grand challenges.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Apr 09, 2018
- Source ID
- FA95501810136
Entities
People
- R. Van Dover
Organizations
- Air Force Office of Scientific Research
- Cornell University
- United States Air Force