What is the NMGC?
The Nanoporous Materials Genome Center (NMGC) discovers and explores microporous and mesoporous materials, including metal-organic frameworks (MOFs), zeolites, and porous polymer networks (PPNs). These materials find use as separation media and catalysts in many energy-relevant processes and their next generation computational design offers a high-payoff opportunity. Towards that end, the NMGC develops state-of-the-art predictive modeling tools and employs them to increase the pace of materials discovery. The NMGC provides a repository of experimental and predicted structures and associated properties for the rapidly growing scientific communities that are interested in using these materials in energy-relevant technologies.
More energy-efficient separation processes are needed to reduce the energy footprint of the chemical industries, but modeling of complex sorption equilibria is a bottleneck. A deep neural network, called SorbNet, is developed that can predict multi-component adsorption isotherms over a wide range of temperatures and pressures and allows for finding optimal conditions for challenging separations.
Dr. Xin-Ping Wu, a postdoctoral scholar working with Don Truhlar and Laura Gagliardi, has proposed that metal–organic frameworks (MOFs) containing cerium would also be good photocatalysts; with research supported by the Nanoporous Materials Genome Center
For more than a year, NMGC researchers worked to create a game, that lets players design and test brand new Metal Organic Frameworks (MOFs) within an interactive game center.
|May 8, 2019||Professor Gagliardi awarded McKnight Presidential Endowed Chair|
|May 3, 2019||Paper by Farha and Snurr featured in Chemical & Engineering News|
|April 15, 2019||Randy Snurr elected corresponding member of the Saxon Academy of Sciences|
|April 11, 2019||Samuel Stoneburner receives Overend Award in Physical Chemistry|
|April 1, 2019||Coray Colina receives 2019 Cooperative Research Award in Applied Polymer Science and Engineering|
|March 29, 2019||Omar Farha receives JSCC Award for Creative Work|
|March 19, 2019||Ben Bucior Wins Poster Award|
|University of Minnesota|
|Georgia Institute of Technology|
|Lawrence Berkeley National Laboratory|
|University of California, Berkeley|
|University of Florida|
|University of Southern California|
|University of Toronto|
This research is supported by the U.S. Department of Energy, Office of Basic Energy Sciences, Division of Chemical Sciences, Geosciences and Biosciences under Awards DE-FG02-12ER16362 (Nanoporous Materials Genome: Methods and Software to Optimize Gas Storage, Separations, and Catalysis) and DE-FG02-17ER16362 (Predictive Hierarchical Modeling of Chemical Separations and Transformations in Functional Nanoporous Materials: Synergy of Electronic Structure Theory, Molecular Simulations, Machine Learning, and Experiment).
The Center was started as part of the Materials Genome Initiative (MGI), a multi-agency initiative designed to create a research infrastructure at U.S. institutions that enables the research enterprise to discover, manufacture, and deploy advanced materials twice as fast, at a fraction of the cost. Predictive Theory and Modeling of Chemical Systems are goals of the DOE Basic Energy Sciences Computational Chemical Sciences Initiative. Software developed by NMGC also contributes to the Exascale Computing Initiative.