TY - JOUR
T1 - Ab initio molecular dynamics
T2 - Basic concepts, current trends and novel applications
AU - Tuckerman, Mark E.
PY - 2002/12/23
Y1 - 2002/12/23
N2 - The field of ab initio molecular dynamics (AIMD), in which finite temperature molecular dynamics (MD) trajectories are generated with forces obtained from accurate 'on the fly' electronic structure calculations, is a rapidly evolving and growing technology that allows chemical processes in condensed phases to be studied in an accurate and unbiased way. This article is intended to present the basics of the AIMD method as well as to provide a broad survey of the state of the art of the field and showcase some of its capabilities. Beginning with a derivation of the method from the Born-Oppenheimer approximation, issues including the density functional representation of electronic structure, basis sets, calculation of observables and the Car-Parrinello extended Lagrangian algorithm are discussed. A number of example applications, including liquid structure and dynamics and aqueous proton transport, are presented in order to highlight some of the current capabilities of the approach. Finally, advanced topics such as inclusion of nuclear quantum effects, excited states and scaling issues are addressed.
AB - The field of ab initio molecular dynamics (AIMD), in which finite temperature molecular dynamics (MD) trajectories are generated with forces obtained from accurate 'on the fly' electronic structure calculations, is a rapidly evolving and growing technology that allows chemical processes in condensed phases to be studied in an accurate and unbiased way. This article is intended to present the basics of the AIMD method as well as to provide a broad survey of the state of the art of the field and showcase some of its capabilities. Beginning with a derivation of the method from the Born-Oppenheimer approximation, issues including the density functional representation of electronic structure, basis sets, calculation of observables and the Car-Parrinello extended Lagrangian algorithm are discussed. A number of example applications, including liquid structure and dynamics and aqueous proton transport, are presented in order to highlight some of the current capabilities of the approach. Finally, advanced topics such as inclusion of nuclear quantum effects, excited states and scaling issues are addressed.
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U2 - 10.1088/0953-8984/14/50/202
DO - 10.1088/0953-8984/14/50/202
M3 - Review article
AN - SCOPUS:0037164761
SN - 0953-8984
VL - 14
SP - R1297-R1355
JO - Journal of Physics Condensed Matter
JF - Journal of Physics Condensed Matter
IS - 50
ER -