Workshop on Data-Driven Design of Heterogeneous Materials
Abstract
Despite significant investments in various subdomains supporting materials data and design science, there is a sizable gap in developing and integrating the solutions needed to solve the larger-scale and more complex materials design problems relevant to the Army. For example, multi-functional, reconfigurable, and autonomous soft materials systems, and heterogeneous and/or composite structural materials. The complexity and scale of these challenges mandates a need for sustained multidisciplinary effort from the materials science, chemistry, physics, mechanics, mathematics, and computer science communities, and the principled integration and deployment of data-driven design (i.e., machine learning and artificial intelligence) to accelerate materials discovery and development. The proposed joint workshop will bring together data and computer scientists with scientists working in both the structural/composite hard materials and the soft functional materials communities to identify critically pressing problems and funding gaps in the data-driven design of heterogeneous materials and prescribe potential paths forward.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jul 09, 2020
- Source ID
- W911NF2010060
Entities
People
- Andrew L. Ferguson
Organizations
- Army Contracting Command
- United States Army
- University of Chicago