Fatemeh Khalili-Araghi
Architecture of Tight Junctions and the Paracellular Transport Mechanism
(bawy)Jan 2019 - Dec 2019
Paracellular Transport Mechanism in Tight Junctions
(badr)Jun 2016 - Mar 2017
Modeling the Bacterial Copper Transport Efflux Pump
(jqo)Mar 2015 - May 2016
2018
2015
2019
2015
Fatemeh Khalili-Araghi: Molecular Dynamics Simulations of Paracellular Transport Mechanism
Blue Waters Symposium 2017, May 17, 2017
Great Lakes Consortium awards access to Blue Waters supercomputer to 11 research projects
Jun 2, 2016
How the flu virus enters a cell in the body. Evaluating economic policy impacts of potential future climate change. Understanding the dynamics and physics of atomic matter during galaxy cluster formation. These are just a few of the research projects being pursued by the 11 science and engineering teams from across the country who were awarded time on the Blue Waters supercomputer through the Great Lakes Consortium for Petascale Computation. Over a twelve-month period, these science and engineering teams will have a combined total of more than 4.3 million node hours on Blue Waters.
Sources:
Blue Waters Supercomputer Assists With Bacteria Research
May 6, 2016
There are many ways that bacteria can develop antibiotic resistance—through acquiring resistance from another bacterium, or through the function of protein complexes known as efflux pump that expel antibiotics out of the bacterial cell. These protein structures are extremely small—if the period at the end of this sentence is one millimeter, then 100,000 pumps will fit inside the period, according to Fatemeh Khalili-Araghi, assistant professor in physics at the University of Illinois at Chicago. Khalili-Araghi is working to understand how the efflux pumps function in gram-negative bacteria like E. coli.
Sources:
- http://www.hpcwire.com/off-the-wire/blue-waters-supercomputer-helps-researcher-study-bacteria/
- http://www.ncsa.illinois.edu/news/story/tiny_terrors_researcher_works_to_uncover_how_bacteria_develop_antibiotic_re
Graphene heat-transfer riddle unraveled
Jun 20, 2015
Researchers have solved the long-standing conundrum of how the boundary between grains of graphene affects heat conductivity in thin films of the miracle substance -- bringing developers a step closer to being able to engineer films at a scale useful for cooling microelectronic devices and hundreds of other nano-tech applications. The study, by researchers at the University of Illinois at Chicago, the University of Massachusetts-Amherst and Boise State University, is published online in Nano Letters.
Sources:
- http://www.domain-b.com/technology/materials/20150620_heat_transfer.html
- https://www.eurekalert.org/pub_releases/2015-06/uoia-ghr061615.php
Great Lakes Consortium awards Blue Waters resources to 9 research teams
Mar 13, 2015
Nine research teams from a wide range of disciplines have been awarded computational and data resources on the Blue Waters supercomputer at the National Center for Supercomputing Applications (NCSA) at the University of Illinois at Urbana-Champaign. Blue Waters is one of the world’s most powerful supercomputers, capable of performing quadrillions of calculations every second and working with quadrillions of bytes of data. Its massive scale and balanced architecture enable scientists and engineers to tackle research challenges that could not be addressed with other computing systems.
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U of I, Great Lakes Consortium award Blue Waters resources to 18 research teams
Apr 10, 2014
Eighteen research teams from a wide range of disciplines have been awarded computational and data resources on the sustained-petascale Blue Waters supercomputer at the National Center for Supercomputing Applications (NCSA) at the University of Illinois at Urbana-Champaign. Blue Waters is one of the world’s most powerful supercomputers, capable of performing quadrillions of calculations every second and working with quadrillions of bytes of data. Its massive scale and balanced architecture enable scientists and engineers to tackle research challenges that could not be addressed with other computing systems.
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