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020 ▼a 9780438166035
035 ▼a (MiAaPQ)AAI10906608
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 530
1001 ▼a Hopkins, Chad.
24510 ▼a Optimization of Computational Chemistry Techniques.
260 ▼a [S.l.]: ▼b University of Florida., ▼c 2017.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2017.
300 ▼a 131 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
5021 ▼a Thesis (Ph.D.)--University of Florida, 2017.
520 ▼a This document presents my work in the field of computational physical chemistry in the Roitberg group on a variety of projects that all have the overarching theme of improving and optimizing computational techniques in the field. Advances in com
520 ▼a Chapters 2 and 3 address optimizations to a particular problem in force field parameterization, the fitting of dihedral parameters. Chapter 2 presents a novel fitting procedure to analytically calculate the optimal set of dihedral force field pa
520 ▼a Chapter 4 presents a simple method of accelerating molecular dynamics simulations by about a factor of two, called hydrogen mass repartitioning. By changing the system mass in a simulation, the highest frequency motions of the system can be slow
520 ▼a Chapter 5 investigates the use of graphics processing unit accelerator hardware to speed up density functional theory calculations. In particular, the focus in the acceleration effort was in the use of full density functional theory in hybrid mu
590 ▼a School code: 0070.
650 4 ▼a Physics.
650 4 ▼a Physical chemistry.
650 4 ▼a Biophysics.
690 ▼a 0605
690 ▼a 0494
690 ▼a 0786
71020 ▼a University of Florida. ▼b Physics.
7730 ▼t Dissertation Abstracts International ▼g 79-12B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0070
791 ▼a Ph.D.
792 ▼a 2017
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15000773 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 201812 ▼f 2019
990 ▼a ***1012033