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Dr. Deo came to Georgia Tech in August 2007 as an Assistant Professor of Nuclear and Radiological Engineering. Prior, he was a postdoctoral research associate in the Materials Science and Technology Division of the Los Alamos National Laboratory.
He studied radiation effects in structural materials (iron and ferritic steels) and nuclear fuels (uranium dioxide). He also obtained research experience at Princeton University (Mechanical Engineering), Lawrence Livermore National Laboratory, and Sandia National Laboratories.
M. Stan, et al. 2007. Models and Simulations of Nuclear Fuel Materials Properties. Journal of Alloys and Compounds. Available online 24 January 2007.
C. S. Deo, et al. 2007. Bubble Nucleation in BCC Iron Studied by Kinetic Monte Carlo Simulations. Journal of Nuclear Materials.
C. S. Deo, D. J. Srolovitz, V. Bulatov, and W. Cai. 2005. Stochastic Simulations of Dislocation Mobility in Tantalum and Ta-based Alloys. Journal of the Mechanics and Physics of Solids 53(6), 1223-1247.
C. S. Deo, D. J. Srolovitz, V. Bulatov, and W. Cai. 2005. Kinetic Monte Carlo Simulations of Dislocation Mobility in bcc Alloys. Physical Review B71, 014106.
C. S. Deo, and D. J. Srolovitz. 2001. "Atomistic 3-D Kinetic Monte Carlo Simulations of Organometallic Vapor Phase Epitaxy of Ordered Films. Physical Review B63, 165411-165422.
Ph.D. University of Michigan, 2003
M.S., University of Michigan, 2000
B.E., University of Pune, India, 1997
National Regulation Commission Faculty Development Grant, 2008-2011
Lawrence Livermore National Laboratory Summer School Fellowship, 2001
University of Michigan College of Engineering Graduate Fellowship, 1997-1998
Research interests and expertise lie in using computational algorithms and techniques based on statistical mechanics (Monte Carlo, molecular dynamics) and solid mechanics (linear elasticity, plasticity) to investigate structure-property-processing relationships that are at the core of technologically relevant problems in nuclear engineering and materials science. Such techniques and algorithms are used for the identification, description, and theoretical interpretation of phenomena that affect materials behavior at nano as well as macro scales.
Current funded projects include
Graduate students interested in nuclear engineering materials, mechanics of materials and computational materials science will find these projects of interest. A potential exists for collaboration with and summer internships at national laboratories such as Los Alamos National Laboratory, Idaho National Laboratory.
Georgia Institute of TechnologyNorth Avenue, Atlanta, GA 30332Phone: 404-894-2000