==== 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 and 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)

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

  * Real-time methods: Real-Time Time-Dependent Electronic Structure Theory, Xiaosong Li, Niranjan Govind, Christine Isborn, A. Eugene DePrince III, and Kenneth Lopata (DOI: https://doi.org/10.1021/acs.chemrev.0c00223); Real-time time-dependent electronic structure theory, Joshua J. Goings, Patrick J. Lestrange, and Xiaosong Li (DOI: https://doi.org/10.1002/wcms.1341)




Electronic Structure：
  * GPW: A hybrid Gaussian and plane wave density functional scheme, Gerald Lippert, Jürg Hutter, and Michele Parrinello (DOI: https://doi.org/10.1080/002689797170220)

  * GAPW: The Gaussian and augmented-plane-wave density functional method for ab initio molecular dynamics simulations, Gerald Lippert, Jürg Hutter, and Michele Parrinello (DOI: https://doi.org/10.1007/s002140050523); All-electron ab-initio molecular dynamics, Matthias Krack and Michele Parrinello (DOI: https://doi.org/10.1039/B001167N); Inner-shell spectroscopy by the Gaussian and augmented plane wave method, Marcella Iannuzzi and Jürg Hutter (DOI: https://doi.org/10.1039/B615522G)

  * 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)