A Benchmark Study of Quantum Mechanics and Quantum Mechanics-Molecular Mechanics Methods for Carbocation Chemistry

Author(s):  
Shani Zev ◽  
Prashant Kumar Gupta ◽  
Efrat Pahima ◽  
Dan Thomas Major
2020 ◽  
Author(s):  
Zenghui Yang

Quantum mechanics/molecular mechanics (QM/MM) methods partition the system into active and environmental regions and treat them with different levels of theory, achieving accuracy and efficiency at the same time. Adaptive-partitioning (AP) QM/MM methods allow on-the-fly changes to the QM/MM partitioning of the system. Many of the available energy-based AP-QM/MM methods partition the system according to distances to pre-chosen centers of active regions. For such AP-QM/MM methods, I develop an adaptive-center (AC) method that allows on-the-fly determination of the centers of active regions according to general geometrical or potential-related criteria, extending the range of application of energy-based AP-QM/MM methods to systems where active regions may occur or vanish during the simulation.


Author(s):  
Walker M. Jones ◽  
Aaron G. Davis ◽  
R. Hunter Wilson ◽  
Katherine L. Elliott ◽  
Isaiah Sumner

We present classical molecular dynamics (MD), Born-Oppenheimer molecular dynamics (BOMD), and hybrid quantum mechanics/molecular mechanics (QM/MM) data. MD was performed using the GPU accelerated pmemd module of the AMBER14MD package. BOMD was performed using CP2K version 2.6. The reaction rates in BOMD were accelerated using the Metadynamics method. QM/MM was performed using ONIOM in the Gaussian09 suite of programs. Relevant input files for BOMD and QM/MM are available.


2007 ◽  
Vol 3 (2) ◽  
pp. 628-639 ◽  
Author(s):  
Patrick Maurer ◽  
Alessandro Laio ◽  
Håkan W. Hugosson ◽  
Maria Carola Colombo ◽  
Ursula Rothlisberger

Biochemistry ◽  
2017 ◽  
Vol 56 (48) ◽  
pp. 6377-6388 ◽  
Author(s):  
Jitrayut Jitonnom ◽  
Jon I. Mujika ◽  
Marc W. van der Kamp ◽  
Adrian J. Mulholland

2014 ◽  
Vol 16 (38) ◽  
pp. 20639-20649 ◽  
Author(s):  
Petr Štěpánek ◽  
Petr Bouř

Electronic spectra provide a wealth of information on molecular structures. We demonstrate a very satisfactory agreement between experimental and modeled spectra, as obtained by combined molecular mechanics/quantum mechanics computations for three aromatic amino acids.


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