2007
DOI: 10.1016/j.jallcom.2007.01.102
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Models and simulations of nuclear fuel materials properties

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Cited by 45 publications
(25 citation statements)
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“…This is due to the fact that systems examined computationally have well-defined compositions and the influence of each change in condition can be analyzed separately. With increases in computational resources and both more powerful and more efficient algorithms, density functional theory (DFT) can be applied to larger systems and has been successfully used to examine defect formation in numerous materials [6][7][8][9][10], including UO 2 , with greater accuracy. For example, Petit and coworkers [11][12][13] used the local density approximation (LDA) and the generalized gradient approximation (GGA) to predict the energetics associated with point defect formation.…”
Section: Introductionmentioning
confidence: 99%
“…This is due to the fact that systems examined computationally have well-defined compositions and the influence of each change in condition can be analyzed separately. With increases in computational resources and both more powerful and more efficient algorithms, density functional theory (DFT) can be applied to larger systems and has been successfully used to examine defect formation in numerous materials [6][7][8][9][10], including UO 2 , with greater accuracy. For example, Petit and coworkers [11][12][13] used the local density approximation (LDA) and the generalized gradient approximation (GGA) to predict the energetics associated with point defect formation.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, understanding and predicting gas bubble evolution kinetics and its subsequent impact on material properties are crucial for scientific design of advanced nuclear fuels, optimizing fuel operation, and reducing uncertainty in operational and safety margins. Stan et al 54 proposed, for the first time, a simple PF model to simulate the evolution of gas bubbles in an irradiated material. In a later work, 55 a more sophisticated PF model for gas bubble evolution in a polycrystalline was developed.…”
Section: Simulations Of Different Phenomena In Radiation-induced Micrmentioning
confidence: 99%
“…Applications of the PF method in predicting microstructure evolution in solidification and solid state phase transition have been reviewed in several articles. [46][47][48][49][50][51][52][53] During the past decade, the PF approach has been applied to study microstructure evolutions in irradiated nuclear materials such as gas bubble evolution in nuclear fuels, [54][55][56][57][58][59][60][61][62] void formation and evolution, [63][64][65][66][67][68][69][70][71][72][73] void and gas bubble lattice formation, 62,74 void migration under temperature gradient, [75][76][77] SIA loop growth kinetics, [78][79][80] precipitation, [81][82][83][84][85][86][87][88][89][90] grain growth and recrystallization. [91]…”
Section: Introductionmentioning
confidence: 99%
“…The models are validated using experimental results of thermal conductivity and oxygen diffusivity. The multiscale approach was applied to calculations of point defect concentration, helium bubbles formation, oxygen diffusivity, and simulations of heat and mass transport in UO 2+x [64]. The application to the U-Pu-Zr system is currently in progress at the Los Alamos National Laboratory.…”
Section: Modern Metallic Fast Reactor Fuelsmentioning
confidence: 99%