University of Minnesota
University of Minnesota
College of Science and Engineering > Department of Chemistry > Nanoporous Materials Genome Center


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.



April 30, 2015

Transformation of Ethane to Ethanol
A collaborative work between the University of Minnesota-Twin Cities and the University of California, Berkeley, details the mechanism of oxidation of ethane to ethanol at iron(IV)–oxo sites in magnesium-diluted Fe2(dobdc). Read full details of the study.


March 17, 2015

New Material May Aid in Destruction of Chemical Weapons
A team of researchers from Northwestern University and the University of Minnesota have made a significant breakthrough with a new material that is robust and effective at destroying toxic nerve agents, as recently reported in Nature Materials.


March 11, 2015

New Adsorbents May Mitigate Carbon Dioxide in the Atmosphere
Researchers at the University of Minnesota and University of California, Berkeley, make breakthrough discovery into cost-effective and efficient ways to remove carbon dioxide from the atmosphere. This study has been featured in Nature.


January 26, 2015

Researchers Identify Materials to Improve Biofuel and Petroleum Processing
A team of researchers led by the University of Minnesota and Rice University has identified potential materials that could improve the production of ethanol and petroleum products. The study was published in the research journal Nature Communications. Read more.

April 24, 2015

See related article, ALCF Supercomputer Helps Identify Materials to Improve Fuel Production.

Pictured left: Peng Bai, Graduate Student and first author


May 19, 2014

Oxidation of Ethane to Ethanol in a Metal-Organic Framework
Newly published research from the collaborative work by the University of California, Berkeley, and the University of Minnesota focuses on the oxidation of ethane to ethanol in a metal-organic framework—a step toward greater energy efficiency.
Read more or go to article, published in Nature Chemistry.

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This research is supported by the U.S. Department of Energy, Office of Basic Energy Sciences, Division of Chemical Sciences, Geosciences and Biosciences under Award DE-FG02-12ER16362.




Recent News & Events

  U of MN Professor Michael Tsapatsis Elected to National Academy of Engineering

February 6, 2015 Professor Michael Tsapatsis has been elected to the National Academy of Engineering (NAE). Tsapatsis received the honor for design and synthesis of specialized nanomaterials, called zeolites, that are used for selective separation and reaction. His research group’s accomplishments include development of unique molecular sieves and membranes that are used to increase efficiencies in the chemical and petroleum processing industries. Read more.

Chemists Turn Key to New Energy Future

Pictured above: Laura Gagliardi and Don Truhlar

  June 27, 2014 Chemists turn key to new energy future. U chemists explain new reaction, demonstrating how quantum mechanics can help design more energy-efficient catalysts.U chemistry professors Laura Gagliardi and Don Truhlar, along with U graduate students and colleagues at UC Berkeley, took up this challenge by starting with the simpler but closely related problem of how to convert ethane—a two-carbon molecule—into ethanol at room temperature and pressure. In short, Berkeley built a catalyst and the U researchers used advanced computations to explain how it worked. Read more

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