Aqueous solutions: state of the art in ab initio molecular dynamics

被引:133
作者
Hassanali, Ali A. [1 ,2 ]
Cuny, Jerome [1 ,2 ,3 ]
Verdolino, Vincenzo [1 ,2 ]
Parrinello, Michele [1 ,2 ]
机构
[1] Swiss Fed Inst Technol, Dept Chem & Appl Biosci, CH-6900 Lugano, Switzerland
[2] Univ Svizzera Italiana, CH-6900 Lugano, Switzerland
[3] Lab Chim & Phys Quant, UMR 5626, Toulouse, France
来源
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES | 2014年 / 372卷 / 2011期
关键词
ab initio; aqueous systems; molecular dynamics; DENSITY-FUNCTIONAL THEORY; NMR CHEMICAL-SHIFTS; 1ST PRINCIPLES SIMULATIONS; CAR-PARRINELLO; LIQUID WATER; FREE-ENERGY; SOLVATION SHELL; HYDROXIDE IONS; PK(A) VALUES; FE-57; NMR;
D O I
10.1098/rsta.2012.0482
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The simulation of liquids by ab initio molecular dynamics (AIMD) has been a subject of intense activity over the last two decades. The significant increase in computational resources as well as the development of new and efficient algorithms has elevated this method to the status of a standard quantum mechanical tool that is used by both experimentalists and theoreticians. As AIMD computes the electronic structure from first principles, it is free of ad hoc parametrizations and has thus been applied to a large variety of physical and chemical problems. In particular, AIMD has provided microscopic insight into the structural and dynamical properties of aqueous solutions which are often challenging to probe experimentally. In this review, after a brief theoretical description of the Born-Oppenheimer and Car-Parrinello molecular dynamics formalisms, we show how AIMD has enhanced our understanding of the properties of liquid water and its constituent ions: the proton and the hydroxide ion. Thereafter, a broad overview of the application of AIMD to other aqueous systems, such as solvated organic molecules and inorganic ions, is presented. We also briefly describe the latest theoretical developments made in AIMD, such as methods for enhanced sampling and the inclusion of nuclear quantum effects.
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页数:32
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