Cellulase enzymes found in nature from sources such as wood-degrading fungi or in cows’ stomach compartments form one of the key catalysts for breaking down plant biomass to make biofuels. But, they remain quite expensive. Compute allocations from the Extreme Science and Engineering Discovery Environment (XSEDE) have made a breakthrough possible that could have big cost implications.
Researchers using the supercomputing resources at the National Institute for Computational Sciences are investigating a way to recommend sources for users at university libraries. The result would be similar to the “recommender system” at Amazon.com which prioritizes descriptive information based on social behavior.
As disease progresses over space and time in the body, high-resolution imaging can capture the changes taking place down to the sub-cellular level; meanwhile, huge sets of hereditary (genomic) information hold clues about the dynamics of illness. Comparing certain characteristics in the images with genomic and clinical data may be key in predicting disease progression and in targeting new treatments. The current work of a research team at UT’s National Institute for Computational Sciences revolves around making those very connections.
Tiny, wood-boring marine crustaceans with a funny name and a penchant for collectively attacking piers and dining on driftwood, ships, boats, and docks have made a big splash in the science news media lately. These creatures, called Gribbles, have as their recent claim to fame a novel biomass-degrading enzyme in their guts that is of keen interest to the biofuels research and engineering communities.
Using supercomputing resources provided by the National Institute for Computational Sciences, a research team has made discoveries using computer modeling and simulations that have overturned longstanding, widely held beliefs about black holes.
During peak tornado season, researchers using supercomputers at the National Institute for Computational Sciences are working to revolutionize the ability to anticipate tornadoes by explaining why some storms generate tornadoes and others don’t. They are also developing advanced techniques for analyzing data to discover how the twisters move in both space and time.
Proteins can play either pernicious or positive roles in the dynamics of disease. Some proteins that anchor to cell membranes promote the development of HIV (human immunodeficiency virus), while some proteins thwart the growth of cancer, for example.
A study led by Predrag Krstic at National Institute of Computational Sciences has uncovered how the behavior of plasma—the extremely hot gases of nuclear fusion—can be controlled with ultra-thin lithium films on graphite walls lining thermonuclear magnetic fusion devices.
Gilchrist, an associate professor of ecology and evolutionary biology, is using the power of supercomputers at the National Institute of Computational Sciences (NICS) to help advance our quantitative understanding of the costs and errors associated with protein translation.
A group of UT students put the use of aesthetics and artistic flair to the test in delivering scientific messages as part of a pilot project class. The students developed videos about the work of researchers associated with the National Institute for Computational Sciences (NICS) through the guidance from Art Professor Norman Magden and NICS communicator Christal Yost. To read more about the class, visit NICS website.