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 Edward Snell. 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.
MaDE@UB Lab: Materials Data Engineering Laboratory
The Materials Data Engineering Laboratory (MaDE@UB Lab) is a joint initiative between the Department of Materials Design and Innovation, 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. It is funded by the National Science Foundation.
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 is 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.
