Probing the Statistical Validity of the Ductile-to-Brittle Transition in Metallic Nanowires Using GPU Computing
Published in JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 2013
Recommended citation: French, William R. Pervaje, Amulya K. Santos, Andrew P. Iacovella, Christopher R. Cummings, Peter T. (2013). "Probing the Statistical Validity of the Ductile-to-Brittle Transition in Metallic Nanowires Using GPU Computing ." JOURNAL OF CHEMICAL THEORY AND COMPUTATION. 9 (12).
French, William R. Pervaje, Amulya K. Santos, Andrew P. Iacovella, Christopher R. Cummings, Peter T. (2013). “Probing the Statistical Validity of the Ductile-to-Brittle Transition in Metallic Nanowires Using GPU Computing .” JOURNAL OF CHEMICAL THEORY AND COMPUTATION. 9 (12), pp 5558-5566 .
DOI: 10.1021/ct400885z
Funding source: U.S. Department of Education for a Graduate Assistance in Areas of National Need (GAANN) Fellowship [P200A090323]; U.S. Department of Energy [DEFG0203ER46096]; Vanderbilt Undergraduate Summer Research Program (VUSRP) fellowship; Research Experiences for Undergraduates (REU) Fellowship from the National Science Foundation (NSF) [DMR-1005023]; NSF [CBET-1028374]; National Institute for Computational Sciences [UT-TNEDU014]; Office of Science of the U.S. Department of Energy [DE-AC02-05CH11231]; Direct For Mathematical \& Physical Scien; Division Of Materials Research [1005023] Funding Source: National Science Foundation