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Increasing the computational efficiency of ab initio methods with generalized many-body expansions

Richard, Ryan

Abstract Details

2013, Doctor of Philosophy, Ohio State University, Chemistry.
It is well known that a hierarchy of ab initio methods exist and can be used to achieve high accuracy, but at high cost. This is because correlated methods scale as O(N^p), where N is a measure of system size and typically p>2, making high accuracy prohibitive for all but the smallest of systems. One strategy for circumventing this non-linear scaling is to use fragment based methods, which are a group of methods that rely on the ``nearsightedness” of electronic matter to decompose a system of size N, to N_{Frag} systems of size n. This decomposition allows ab initio methods to be performed on larger systems than before because the scaling is reduced from O(N^p) to N_{Frag}*O(n^p); furthermore, each of the N_{Frag} fragments is independent and can be divided amongst processors decreasing the overall wall time of the calculation. Here we focus on exploring a general, theoretical framework that elucidates the differences between various, ostensibly different, fragment methods, with a particular emphasis being placed on high accuracy applications.
John Herbert, Ph.D (Advisor)
Anne McCoy, Ph.D. (Committee Member)
Sherwin Singer, Ph.D. (Committee Member)
Andy Fischer, Ph.D. (Committee Member)
192 p.

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Citations

  • Richard, R. (2013). Increasing the computational efficiency of ab initio methods with generalized many-body expansions [Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1385570237

    APA Style (7th edition)

  • Richard, Ryan. Increasing the computational efficiency of ab initio methods with generalized many-body expansions. 2013. Ohio State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1385570237.

    MLA Style (8th edition)

  • Richard, Ryan. "Increasing the computational efficiency of ab initio methods with generalized many-body expansions." Doctoral dissertation, Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1385570237

    Chicago Manual of Style (17th edition)