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Data-driven Integration of Experiments and Multi-scale Modeling for Accelerated Development of Aluminum Alloys

Project Personnel

Todd Hufnagel

Principal Investigator

Johns Hopkins University

Somnath Ghosh

Johns Hopkins University

Kaliat Ramesh

Johns Hopkins University

David Elbert

Johns Hopkins University

Funding Divisions

Division of Materials Research (DMR), Civil, Mechanical and Manufacturing Innovation (CMMI), Office of Advanced Cyberinfrastructure (OAC)

Advanced materials are introduced into engineering applications through an iterative development cycle including both materials characterization and computational models of materials processing and properties. This process is slowed, however, by the need for humans to be involved at almost every stage of the cycle. In this program we are creating  the Open Materials Semantic Infrastructure (OpenMSI) to enable an automated data flow in which each task in the loop automatically pushes information to, or pulls information from, a common data layer. This will accelerate materials design by minimizing the required human intervention, while still allowing human input to the loop where essential. 

U.S. National Science Foundation and NSF DMREF, Materials for Our Future

This material is based upon work supported by the U.S. National Science Foundation Award No. 2015237. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the U.S. National Science Foundation. This site is maintained collaboratively by principal investigators with NSF DMREF awards, independent of the NSF.