MDI Collaboratory

A global research outreach and collaboration network. 

Learn more about:

BioXFEL: an NSF Science and Technology Center

Biology with X-ray Free Electron Lasers (BioXFEL) is a Science and Technology Center established by the National Science Foundation in 2013 and led by Professor E. Lattman. Composed of eight U.S. research universities, BioXFEL is aimed at addressing the fundamental questions in biology at the molecular level.

Using a pulsed hard X-ray laser, researchers can capture biological molecules in atomic detail, view their functional motions by taking brief snapshots, and observe interactions in their native environment. This opens up a new world to biology, to science, and to human health.

Applications include photosynthesis, enzyme function at the atomic level and drug delivery proteins.

BioXFEL Logo
NSF Logo

MaDE@UB Lab: Materials Data Engineering Laboratory

NSF Logo

The NSF Materials Data Engineering Laboratory (MaDE@UB Lab) is a joint initiative between the Materials Design and Innovation department, the Center for Unified Biometrics and Sensors (CUBS) and the Center for Computational Research to develop machine intelligence driven tools to query and interpret text, graphs and images in the materials sciences.

The MaDE@UB Lab conducts a highly interdisciplinary research program harnessing expertise in machine learning, pattern recognition, materials informatics, and modeling to create machines with the cognitive skills for linking both computational and experimentally derived materials science literature and data. With the capacity to explore massive amounts of literature and data, the MaDE@UB Lab provides a new trajectory of data-intensive materials science research impacting accelerated discovery of new materials.

Materials Discovery Journal

cover of the Materials Discovery journal

The Materials Discovery Journal is a new multidisciplinary forum for researchers of all disciplines within the materials science community, designed to be a scholarly link between the materials sciences and information sciences.

The journal strives to promote the concept of “materials discovery” by utilizing all aspects of the emerging field of Materials Informatics including the understanding of the nature of data collection, interpretation of data, and advancing the understanding of the mechanisms governing materials behavior underlying the design and discovery of new materials 

Model Uncertainty: Mathematical and Statistical (MUMS), A Statistical and Applied Mathematics Sciences Institute Program

The MUMS program at the Statistical and Applied Mathematical Sciences Institute will start in 2018 and will be an important venue for promoting and sharing MDI research in the fields of uncertainty quantification and materials science modeling. Professor Pitman leads this program along with other distinguished colleagues in the U.S. 

samsi logo
NSF Logo