website flavor banner

Brian Puchala

Brian PuchalaBrian Puchala
Assistant Research Scientist
Center for PRedictive Integrated Structural Materials Science (PRISMS)
University of Michigan, Ann Arbor, MI

Brian Puchala is an assistant research scientist in the Center for PRedictive Integrated Structural Materials Science (PRISMS) at the University of Michigan. His research is focused on the development of computational tools for modeling materials thermodynamics and kinetics using first principles calculations and statistical mechanics. As part of PRISMS, he is developing Monte Carlo methods which are used for fundamental studies of phase transitions and precipitate formation in metal alloys, and developing tools for integrated computational materials engineering (ICME). He is the lead domain scientist for the Materials Commons, an information repository and collaboration platform for the metals community in PRISMS technical emphasis areas.

 

Abstract

THE MATERIALS COMMONS: A NOVEL INFORMATION REPOSITORY AND COLLABORATION PLATFORM FOR THE MATERIALS COMMUNITY

B. Puchala1*, G. Tarcea2, S. Tamma2, E. Marquis1, and J. Allison1
1Department of Materials Science & Engineering, 2300 Hayward St., Ann Arbor, MI 548109, University of Michigan
2Department of Computer Science & Engineering, 2260 Hayward St., Ann Arbor, MI 548109, University of Michigan
*email: bpuchala@umich.edu

Critical to accelerating the pace of materials science and development is the creation of new and improved infrastructure providing a seamless way for materials researchers to share and use materials data and models. To address this need, we are developing the Materials Commons, an information repository and collaboration platform for the metals community in selected technical emphasis areas. We envision the Materials Commons becoming a continuous, seamless part of the scientific workflow process. Researchers will upload the results of experiments and computations as they are performed, automatically where possible, along with the provenance information describing the experimental and computational processes. By associating this data with the experimental and virtual computational materials samples from which it is obtained, the Materials Commons will build process-structure-property relationships enabling the construction and validation of constitutive and process models. The Materials Commons is a central thrust of the Center for PRedictive Structural Materials Science (PRISMS).