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Full-Text Articles in Physics
Data-Driven Approaches To Complex Materials: Applications To Amorphous Solids, Dil Kumar Limbu
Data-Driven Approaches To Complex Materials: Applications To Amorphous Solids, Dil Kumar Limbu
Dissertations
While conventional approaches to materials modeling made significant contributions and advanced our understanding of materials properties in the past decades, these approaches often cannot be applied to disordered materials (e.g., glasses) for which accurate total-energy functionals or forces are either not available or it is infeasible to employ due to computational complexities associated with modeling disordered solids in the absence of translational symmetry. In this dissertation, a number of information-driven probabilistic methods were developed for the structural determination of a range of materials including disordered solids to transition metal clusters. The ground-state structures of transition-metal clusters of iron, nickel, and …
Scalability Improvements To Nrlmol For Dft Calculations Of Large Molecules, Carlos Manuel Diaz
Scalability Improvements To Nrlmol For Dft Calculations Of Large Molecules, Carlos Manuel Diaz
Open Access Theses & Dissertations
Advances in high performance computing (HPC) have provided a way to treat large, computationally demanding tasks using thousands of processors. With the development of more powerful HPC architectures, the need to create efficient and scalable code has grown more important. Electronic structure calculations are valuable in understanding experimental observations and are routinely used for new materials predictions. For the electronic structure calculations, the memory and computation time are proportional to the number of atoms. Memory requirements for these calculations scale as N2, where N is the number of atoms. While the recent advances in HPC offer platforms with large numbers …