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exercises:common:reading_list

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Books

  • Modern Quantum Chemistry: Introduction to Advanced Electronic Structure Theory, Attila Szabo
  • Molecular Electronic-Structure Theory, Trygve Helgaker, Poul Jørgensen, and Jeppe Olsen
  • Electronic Structure: Basic Theory and Practical Methods, Richard M. Martin
  • Understanding Molecular Simulation From Algorithms to Applications, Daan Frenkel and Berend Smit
  • Computer Simulation of Liquids: Second Edition, Michael P. Allen and Dominic J. Tildesley
  • Statistical Mechanics: Theory and Molecular Simulation, Mark E. Tuckerman
  • Ab Initio Molecular Dynamics Basic Theory and Advanced Methods, Dominik Marx, Jürg Hutter
  • Time-Dependent Density-Functional Theory: Concepts and Applications, Carsten A. Ullrich

Papers

CPMD: Unified Approach for Molecular Dynamics and Density-Functional Theory, Roberto Car and Michele Parrinello (DOI: https://doi.org/10.1103/PhysRevLett.55.2471)

Meta-dynamics: Escaping free-energy minima, Alessandro Laio and Michele Parrinello (DOI: https://doi.org/10.1073/pnas.202427399)

Electronic Structure:

PBE:Generalized Gradient Approximation Made Simple, John P. Perdew, Kieron Burke, and Matthias Ernzerhof (DOI: https://doi.org/10.1103/PhysRevLett.77.3865)

SCAN: Strongly Constrained and Appropriately Normed Semilocal Density Functional, Jianwei Sun, Adrienn Ruzsinszky, and John P. Perdew (DOI: https://doi.org/10.1103/PhysRevLett.115.036402)

HSE: Hybrid functionals based on a screened Coulomb potential, Jochen Heyd, Gustavo E. Scuseria, and Matthias Ernzerhof (DOI: https://doi.org/10.1063/1.1564060)

DFT-D-Grimme: A consistent and accurate ab initio parametrization of density functional dispersion correction (DFT-D) for the 94 elements H-Pu, Stefan Grimme, Jens Antony, Stephan Ehrlich, and Helge Krieg (DOI: https://doi.org/10.1063/1.3382344)

Machine learning:

BPNN: Generalized Neural-Network Representation of High-Dimensional Potential-Energy Surfaces, Jörg Behler and Michele Parrinello (DOI: https://doi.org/10.1103/PhysRevLett.98.146401)

DeepMD: Deep Potential Molecular Dynamics: A Scalable Model with the Accuracy of Quantum Mechanics, Linfeng Zhang, Jiequn Han, Han Wang, Roberto Car, and Weinan E (DOI: https://doi.org/10.1103/PhysRevLett.120.143001)

exercises/common/reading_list.1701780040.txt.gz · Last modified: 2023/12/05 12:40 by fnunes