Molecular Exchange Monte Carlo. a Generalized Method for Identity Exchanges in Grand Canonical Monte Carlo Simulations
نام عام مواد
[Thesis]
نام نخستين پديدآور
Soroush Barhaghi, Mohammad
نام ساير پديدآوران
Schwiebert, Loren
وضعیت نشر و پخش و غیره
نام ناشر، پخش کننده و غيره
Wayne State University
تاریخ نشرو بخش و غیره
2019
مشخصات ظاهری
نام خاص و کميت اثر
95
یادداشتهای مربوط به پایان نامه ها
جزئيات پايان نامه و نوع درجه آن
M.S.
کسي که مدرک را اعطا کرده
Wayne State University
امتياز متن
2019
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
A generalized identity exchange algorithm is presented for Monte Carlo simulations in the grand canonical ensemble. The algorithm, referred to as Molecular Exchange Monte Carlo (MEMC), may be applied to multicomponent systems of arbitrary molecular topology, and provides significant enhancements in the sampling of phase space over a wide range of compositions and temperatures. Three different approaches are presented for the insertion of large molecules, and the pros and cons of each method are discussed. The performance of the algorithms is highlighted through grand canonical Monte Carlo histogram-reweighting simulations performed on several systems, including 2,2,4-trimethylpentane+neopentane, butane+perfluorobutane, methane+n-alkanes, and water+impurity. Relative acceptance efficiencies of up to 400 times that of standard configurational-bias Monte Carlo are obtained for molecule transfers.
موضوع (اسم عام یاعبارت اسمی عام)
موضوع مستند نشده
Chemical engineering
موضوع مستند نشده
Computational chemistry
موضوع مستند نشده
Computer science
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )