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CCT/BRCC Energy Venture Camp Featured on LSU Web Site

6th Annual LSU Undergraduate Research Conference Set for October 31, 2014 (LATM/LSTA)

Graduate Fellowship Opportunities at LA-SiGMA

RETs will be presenting at the Joint Conference for the Louisiana Association of Teachers of Math/Louisiana Science Teachers Association (LATM/LSTA)

Louisiana Alliance for Simulation-Guided Materials Applications
LA-SiGMA

The Alliance pushes the scientific frontiers in computational materials science, and prepares Louisiana researchers to use the next generation of heterogeneous, multicore and hyper-parallel cyberinfrastructure effectively. LA-SiGMA builds statewide interdisciplinary research collaborations involving computational scientists, computer scientists and engineers, applied mathematicians, theorists and experimentalists. Most significantly, the Alliance builds materials science graduate curricula that are unique in its statewide reach and impact, and will be a model for virtual organizations for advanced education and training of graduate students and post-doctoral fellows.

The LA-SiGMA research program consists of three major science drivers in areas of current strength in the State, and of great technological and economic importance:

The "glue" that holds the three areas together are the formalisms, algorithms, and codes for tackling multiple length and time scales and multiscale interactions and correlations. Among these are the next generation Monte Carlo methods, massively parallel implementations of Density Functional Theory, force field methods, and large-scale molecular dynamics.

The Alliance members are: Louisiana State University (lead institution), Grambling State University, Louisiana Tech University, University of New Orleans, Southern University at Baton Rouge, Tulane University, and Xavier University.

LA-SiGMA Research roadmap.
LA-SiGMA Research roadmap. Common challenges and barriers (green) link three Science Drivers (yellow) of scientific and technological importance that leverage existing strengths in the State. Common computational tools will be developed and implemented on the next generation of high performance computing platforms (blue). Experiments at existing facilities (orange) will test computational predictions and lead to refinement of formalisms. These collaborative activities will lead to transformative advances in materials science research and education in the State.

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