Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Review Article
  • Published:

Nuclear quantum effects enter the mainstream

Abstract

Atomistic simulations of chemical, biological and materials systems have become increasingly precise and predictive owing to the development of accurate and efficient techniques that describe the quantum mechanical behaviour of electrons. Nevertheless, the overwhelming majority of such simulations still assumes that the nuclei behave as classical particles. Historically, this approximation could sometimes be justified owing to the complexity and computational overhead. However, neglecting nuclear quantum effects has become one of the largest sources of error, especially when systems containing light atoms are treated using current state-of-the-art descriptions of chemical interactions. Over the past decade, this realization has spurred a series of methodological advances that have dramatically reduced the cost of including these important physical effects in the structure and dynamics of chemical systems. Here, we discuss how these developments are now allowing nuclear quantum effects to become a mainstream feature of molecular simulations. These advances have led to new insights into phenomena that are relevant to different areas of science — from biochemistry to condensed matter — and open the door to many exciting future opportunities.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Figure 1: A summary of accelerated path integral molecular dynamics techniques.
Figure 2: Competing quantum effects in biomolecules.
Figure 3: Classical vs quantum proton momentum distribution.
Figure 4: Hydrogen–hydrogen radial distribution functions for different phases of solid hydrogen.

Similar content being viewed by others

References

  1. Klinman, J. P. & Kohen, A. Hydrogen tunneling links protein dynamics to enzyme catalysis. Annu. Rev. Biochem. 82, 471–496 (2013).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Sutcliffe, M. J. & Scrutton, N. S. A new conceptual framework for enzyme catalysis. Eur. J. Biochem. 269, 3096–3102 (2002).

    Article  CAS  PubMed  Google Scholar 

  3. Wang, A., Fried, S. D., Boxer, S. G. & Markland, T. E. Quantum delocalization of protons in the hydrogen bond network of an enzyme active site. Proc. Natl Acad. Sci. USA 111, 18454–18459 (2014).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Wang, L., Isborn, C. M. & Markland, T. E. Simulating nuclear and electronic quantum effects in enzymes. Methods Enzymol. 577, 389–418 (2016).

    Article  CAS  PubMed  Google Scholar 

  5. Rossi, M., Gasparotto, P. & Ceriotti, M. Anharmonic and quantum fluctuations in molecular crystals: a first-principles study of the stability of paracetamol. Phys. Rev. Lett. 117, 115702 (2016).

    Article  PubMed  CAS  Google Scholar 

  6. Morales, M. A., McMahon, J. M., Pierleoni, C. & Ceperley, D. M. Nuclear quantum effects and nonlocal exchange-correlation functionals applied to liquid hydrogen at high pressure. Phys. Rev. Lett. 110, 065702 (2013).

    Article  PubMed  CAS  Google Scholar 

  7. Fanourgakis, G. S. & Xantheas, S. S. Development of transferable interaction potentials for water. v. extension of the flexible, polarizable, thole-type model potential (TTM3-f, v. 3.0) to describe the vibrational spectra of water clusters and liquid water. J. Chem. Phys. 128, 074506 (2008).

    Article  PubMed  CAS  Google Scholar 

  8. Behler, J. & Parrinello, M. Generalized neural-network representation of high-dimensional potential-energy surfaces. Phys. Rev. Lett. 98, 146401 (2007).

    Article  PubMed  CAS  Google Scholar 

  9. Bartók, A. P., Payne, M. C., Kondor, R., & Csányi, G. Gaussian approximation potentials: the accuracy of quantum mechanics, without the electrons. Phys. Rev. Lett. 104, 136403 (2010).

    Article  PubMed  CAS  Google Scholar 

  10. Wang, Y., Huang, X., Shepler, B. C., Braams, B. J. & Bowman, J. M. Flexible, ab initio potential, and dipole moment surfaces for water. I. tests and applications for clusters up to the 22-mer. J. Chem. Phys. 134, 094509 (2011).

    Article  PubMed  CAS  Google Scholar 

  11. Babin, V., Leforestier, C. & Paesani, F. Development of a “first principles” water potential with flexible monomers: Dimer potential energy surface, VRT spectrum, and second virial coefficient. J. Chem. Theory Comput. 9, 5395–5403 (2013).

    Article  CAS  PubMed  Google Scholar 

  12. Feynman, R. P. Space-time approach to non-relativistic quantum mechanics. Rev. Modern Phys. 20, 367–387 (1948).

    Article  Google Scholar 

  13. Feynman, R. P. & Hibbs, A. R. Quantum Mechanics and Path Integrals (McGraw-Hill, 1964).

    Google Scholar 

  14. Barker, J. A. A quantum-statistical monte carlo method path integrals with boundary conditions. J. Chem. Phys. 70, 2914–2918 (1979).

    Article  CAS  Google Scholar 

  15. Chandler, D. & Wolynes, P. G. Exploiting the isomorphism between quantum theory & classical statistical mechanics of polyatomic fluids. J. Chem. Phys. 74, 4078–4095 (1981).

    Article  CAS  Google Scholar 

  16. Ceperley, D. M. Path integrals in the theory of condensed helium. Rev. Mod. Phys. 67, 279–355 (1995).

    Article  CAS  Google Scholar 

  17. Parrinello, M. & Rahman, A. Study of an F center in molten KCl. J. Chem. Phys. 80, 860 (1984).

    Article  CAS  Google Scholar 

  18. Gillan, M. J. Quantum simulation of hydrogen in metals. Phys. Rev. Lett. 58, 563–566 (1987).

    Article  CAS  PubMed  Google Scholar 

  19. Gillan, M. J. Quantum-classical crossover of the transition rate in the damped double well. J. Physics C Solid State Phys. 20, 3621–3641 (1987).

    Article  Google Scholar 

  20. Voth, G. A., Chandler, D. & Miller, W. H. Rigorous formulation of quantum transition state theory and its dynamical corrections. J. Chem. Phys. 91, 7749–7760 (1989).

    Article  CAS  Google Scholar 

  21. Mills, G., Schenter, G. K., Makarov, D. E. & Jónsson, H. Generalized path integral based quan-tum transition state theory. Chem. Phys. Lett. 278, 91–96 (1997).

    Article  CAS  Google Scholar 

  22. Thompson, W. H. Quantum mechanical transition state theory and tunneling corrections. J. Chem. Phys. 110, 4221–4228 (1999).

    Article  CAS  Google Scholar 

  23. Richardson, J. O. & Althorpe, S. C. Ring-polymer molecular dynamics rate-theory in the deep-tunneling regime: Connection with semiclassical instanton theory. J. Chem. Phys. 131, 214106 (2009).

    Article  PubMed  CAS  Google Scholar 

  24. Althorpe, S. C. On the equivalence of two commonly used forms of semiclassical instanton theory. J. Chem. Phys. 134, 114104 (2011).

    Article  PubMed  CAS  Google Scholar 

  25. Hele, T. J. H. & Althorpe, S. C. On the uniqueness of t→0+ quantum transition-state theory. J. Chem. Phys. 139, 084116 (2013).

    Article  PubMed  CAS  Google Scholar 

  26. Richardson, J. O. et al. Concerted hydrogen-bond breaking by quantum tunneling in the water hexamer prism. Science 351, 1310–1313 (2016).

    Article  CAS  PubMed  Google Scholar 

  27. Hele, T. J. H. & Althorpe, S. C. An alternative derivation of ring-polymer molecular dynamics transition-state theory. J. Chem. Phys. 144, 174107 (2016).

    Article  PubMed  CAS  Google Scholar 

  28. Cao, J. & Voth, G. A. A new perspective on quantum time correlation functions. J. Chem. Phys. 99, 10070–10073 (1993).

    Article  CAS  Google Scholar 

  29. Cao, J. & Voth, G. A. The formulation of quantum statistical mechanics based on the Feynman path centroid density. IV. Algorithms for centroid molecular dynamics. J. Chem. Phys. 101, 6168–6183 (1994).

    Article  CAS  Google Scholar 

  30. Jang, S. & Voth, G. A. A derivation of centroid molecular dynamics and other approximate time evolution methods for path integral centroid variables. J. Chem. Phys. 111, 2371–2384 (1999).

    Article  CAS  Google Scholar 

  31. Craig, I. R. & Manolopoulos, D. E. Quantum statistics and classical mechanics: real time correlation functions from ring polymer molecular dynamics. J. Chem. Phys. 121, 3368–3373 (2004).

    Article  CAS  PubMed  Google Scholar 

  32. Habershon, S., Manolopoulos, D. E., Markland, T. E. & Miller, T. F. Ring-polymer molecular dynamics: quantum effects in chemical dynamics from classical trajectories in an extended phase space. Annu. Rev. Phys. Chem. 64, 387–413 (2013).

    Article  CAS  PubMed  Google Scholar 

  33. Cao, J. & Berne, B. J. On energy estimators in path integral Monte Carlo simulations: dependence of accuracy on algorithm. J. Chem. Phys. 91, 6359 (1989).

    Article  CAS  Google Scholar 

  34. Yamamoto, T. M. Path-integral virial estimator based on the scaling of fluctuation coordinates: Application to quantum clusters with fourth-order propagators. J. Chem. Phys. 123, 104101 (2005).

    Article  PubMed  CAS  Google Scholar 

  35. Ceriotti, M. & Markland, T. E. Efficient methods and practical guidelines for simulating isotope effects. J. Chem. Phys. 138, 014112 (2013).

    Article  PubMed  CAS  Google Scholar 

  36. Cheng, B. & Ceriotti, M. Direct path integral estimators for isotope fractionation ratios. J. Chem. Phys. 141, 244112 (2014).

    Article  PubMed  CAS  Google Scholar 

  37. Karandashev, K. & Vanicek, J. Accelerating equilibrium isotope effect calculations. I. Stochastic thermodynamic integration with respect to mass. J. Chem. Phys. 146, 184102 (2017).

    Article  CAS  Google Scholar 

  38. Wigner, E. On the quantum correction for thermodynamic equilibrium. Phys. Rev. 40, 749–759 (1932).

    Article  CAS  Google Scholar 

  39. Herzfeld, K. F. & Teller, E. The vapor pressure of isotopes. Phys. Rev. 54, 912–915 (1938).

    Article  CAS  Google Scholar 

  40. Pierleoni, C. & Ceperley, D. M. in Computer Simulations in Condensed Matter Systems: From Materials to Chemical Biology Vol. 1 (eds Ferrario, M., Ciccotti, G. & Binder, K. ) 641–683 (Springer, 2006).

    Book  Google Scholar 

  41. Hall, R. W. & Berne, B. J. Nonergodicity in path integral molecular dynamics. J. Chem. Phys. 81, 3641–3643 (1984).

    Article  CAS  Google Scholar 

  42. Pollock, E. L. & Ceperley, D. M. Simulation of quantum many-body systems by path-integral methods. Phys. Rev. B 30, 2555–2568 (1984).

    Article  CAS  Google Scholar 

  43. Sprik, M., Klein, M. L. & Chandler, D. Staging: A sampling technique for the Monte Carlo evaluation of path integrals. Phys. Rev. B 31, 4234–4244 (1985).

    Article  CAS  Google Scholar 

  44. Tuckerman, M. E., Berne, B. J., Martyna, G. J. & Klein, M. L. Efficient molecular dynamics and hybrid Monte Carlo algorithms for path integrals. J. Chem. Phys. 99, 2796–2808 (1993).

    Article  Google Scholar 

  45. Tuckerman, M. E., Marx, D., Klein, M. L. & Parrinello, M. Efficient and general algorithms for path integral Car-Parrinello molecular dynamics. J. Chem. Phys. 104, 5579–5588 (1996).

    Article  CAS  Google Scholar 

  46. Ceriotti, M., Parrinello, M., Markland, T. E. & Manolopoulos, D. E. Efficient stochastic thermostatting of path integral molecular dynamics. J. Chem. Phys. 133, 124104 (2010).

    Article  PubMed  CAS  Google Scholar 

  47. Martyna, G. J., Tuckerman, M. E. & Klein, M. L. Nosé-Hoover chains: the canonical ensemble via continuous dynamics. J. Chem. Phys. 97, 2635–2643 (1992).

    Article  Google Scholar 

  48. Marchi, M., Sprik, M. & Klein, M. L. Calculation of the molar volume of electron solvation in liquid ammonia. J. Phys. Chem. 94, 431–434 (1990).

    Article  CAS  Google Scholar 

  49. Scharf, D., Martyna, G. J. & Klein, M. L. Path-integral Monte Carlo study of a lithium impurity in para-hydrogen: clusters and the bulk liquid. J. Chem. Phys. 99, 8997–9012 (1993).

    Article  CAS  Google Scholar 

  50. Martyna, G. J., Hughes, A. & Tuckerman, M. E. Molecular dynamics algorithms for path integrals at constant pressure. J. Chem. Phys. 110, 3275–3290 (1999).

    Article  CAS  Google Scholar 

  51. Ceriotti, M., More, J. & Manolopoulos, D. E. i-PI: A Python interface for ab initio path integral molecular dynamics simulations. Comp. Phys. Comm. 185, 1019–1026 (2014).

    Article  CAS  Google Scholar 

  52. Poma, A. B. & Delle Site, L. Classical to path-integral adaptive resolution in molecular simulation: towards a smooth quantum-classical coupling. Phys. Rev. Lett. 104, 250201 (2010).

    Article  CAS  PubMed  Google Scholar 

  53. Agarwal, A. & Delle Site, L. Path integral molecular dynamics within the grand canonical-like adaptive resolution technique: simulation of liquid water. J. Chem. Phys. 143, 094102 (2015).

    Article  PubMed  CAS  Google Scholar 

  54. Kreis, K., Tuckerman, M. E., Donadio, D., Kremer, K. & Potestio, R. From classical to quantum and back: a Hamiltonian scheme for adaptive multiresolution classical/path-integral simulations. J. Chem. Theory Comput. 12, 3030–3039 (2016).

    Article  CAS  PubMed  Google Scholar 

  55. Liu, J., Li, D. & Liu, X. A simple & accurate algorithm for path integral molecular dynamics with the Langevin thermostat. J. Chem. Phys. 145, 024103 (2016).

    Article  PubMed  Google Scholar 

  56. Mouhat, F., Sorella, S., Vuilleumier, R., Saitta, A. M. & Casula, M. Fully quantum description of the zundel ion: combining variational quantum Monte Carlo with path integral langevin dynamics. J. Chem. Theory Comput. 13, 2400–2417 (2017).

    Article  CAS  PubMed  Google Scholar 

  57. Markland, T. E. & Manolopoulos, D. E. A refined ring polymer contraction scheme for systems with electrostatic interactions. Chem. Phys. Lett. 464, 256–261 (2008).

    Article  CAS  Google Scholar 

  58. Markland, T. E. & Manolopoulos, D. E. An efficient ring polymer contraction scheme for imaginary time path integral simulations. J. Chem. Phys. 129, 024105 (2008).

    Article  PubMed  CAS  Google Scholar 

  59. Fanourgakis, G. S., Markland, T. E. & Manolopoulos, D. E. A fast path integral method for polarizable force fields. J. Chem. Phys. 131, 094102 (2009).

    Article  PubMed  CAS  Google Scholar 

  60. Marsalek, O. & Markland, T. E. Ab initio molecular dynamics with nuclear quantum effects at classical cost: ring polymer contraction for density functional theory. J. Chem. Phys. 144, 054112 (2016).

    Article  PubMed  CAS  Google Scholar 

  61. Marsalek, O. & Markland, T. E. Quantum dynamics and spectroscopy of ab initio liquid water: the interplay of nuclear and electronic quantum effects. J. Phys. Chem. Lett. 8, 1545–1551 (2017).

    Article  CAS  PubMed  Google Scholar 

  62. Kapil, V., VandeVondele, J. & Ceriotti, M. Accurate molecular dynamics and nuclear quantum effects at low cost by multiple steps in real and imaginary time: using density functional theory to accelerate wavefunction methods. J. Chem. Phys. 144, 054111 (2016).

    Article  CAS  PubMed  Google Scholar 

  63. John, C. Spura, T., Habershon, S. & Kuhne, T. D. Quantum ring-polymer contraction method: including nuclear quantum effects at no additional computational cost in comparison to ab initio molecular dynamics. Phys. Rev. E 93, 043305 (2016).

    Article  PubMed  CAS  Google Scholar 

  64. Geng, H. Y. Accelerating ab initio path integral molecular dynamics with multilevel sampling of potential surface. J. Comput. Phys. 283, 299–311 (2015).

    Article  CAS  Google Scholar 

  65. Cheng, X., Herr, J. D. & Steele, R. P. Accelerating ab initio path integral simulations via imaginary multiple-timestepping. J. Chem. Theory Comput. 12, 1627–1638 (2016).

    Article  CAS  PubMed  Google Scholar 

  66. Litman, Y., Donadio, D., Ceriotti, M. & Rossi, M. Decisive role of nuclear quantum effects on surface mediated water dissociation at finite temperature. J. Chem. Phys. 148, 102320 (2018).

    Article  PubMed  CAS  Google Scholar 

  67. Tuckerman, M., Berne, B. J. & Martyna, G. J. Reversible multiple time scale molecular dynamics. J. Chem. Phys. 97, 1990–2001 (1992).

    Article  CAS  Google Scholar 

  68. Suzuki, M. Hybrid exponential product formulas for unbounded operators with possible applications to Monte Carlo simulations. Phys. Lett. A 201, 425–428 (1995).

    Article  CAS  Google Scholar 

  69. Chin, S. A. Symplectic integrators from composite operator factorizations. Phys. Lett. A 226, 344–348 (1997).

    Article  CAS  Google Scholar 

  70. Takahashi, M. & Imada, M. Monte Carlo calculation of quantum systems. II. Higher order correction. Phys. J. Soc. Jap. 53, 3765–3769 (1984).

    Article  CAS  Google Scholar 

  71. Jang, S. S. & Voth, G. A. Applications of higher order composite factorization schemes in imaginary time path integral simulations. J. Chem. Phys. 115, 7832–7842 (2001).

    Article  CAS  Google Scholar 

  72. Perez, A. & Tuckerman, M. E. Improving the convergence of closed and open path integral molecular dynamics via higher order Trotter factorization schemes. J. Chem. Phys. 135, 064104 (2011).

    Article  PubMed  CAS  Google Scholar 

  73. Marsalek, O. et al. Efficient calculation of free energy differences associated with isotopic substitution using path-integral molecular dynamics. J. Chem. Theory Comput. 10, 1440–1453 (2014).

    Article  CAS  PubMed  Google Scholar 

  74. Ceriotti, M., Brain, G. A. R., Riordan, O. & Manolopoulos, D. E. The inefficiency of re-weighted sampling and the curse of system size in high order path integration. Proc. R. Soc. A 468, 2–17 (2011).

    Article  Google Scholar 

  75. Poltavsky, I. & Tkatchenko, A. Modeling quantum nuclei with perturbed path integral molecular dynamics. Chem. Sci. 7, 1368–1372 (2016).

    Article  CAS  PubMed  Google Scholar 

  76. Buchowiecki, M. & Vanicek, J. Monte Carlo evaluation of the equilibrium isotope effects using the Takahashi-Imada factorization of the Feynman path integral. Chem. Phys. Lett. 588, 11–16 (2013).

    Article  CAS  Google Scholar 

  77. Kapil, V., Behler, J. & Ceriotti, M. High order path integrals made easy. J. Chem. Phys. 145, 234103 (2016).

    Article  PubMed  CAS  Google Scholar 

  78. Ford, G. W. & Kac, M. On the quantum Langevin equation. J. Stat. Phys. 46, 803 (1987).

    Article  Google Scholar 

  79. Ford, G. W., Lewis, J. T. & O’Connell, R. F. Quantum Langevin equation. Phys. Rev. A 37, 4419–4428 (1988).

    Article  CAS  Google Scholar 

  80. Buyukdagli, S., Savin, A. V. & Hu, B. Computation of the temperature dependence of the heat capacity of complex molecular systems using random color noise. Phys. Rev. E 78, 66702 (2008).

    Article  CAS  Google Scholar 

  81. Ceriotti, M. Bussi, G. & Parrinello, M. Nuclear quantum effects in solids using a colored-noise thermostat. Phys. Rev. Lett. 103, 30603 (2009).

    Article  CAS  Google Scholar 

  82. Dammak, H., Chalopin, Y., Laroche, M., Hayoun, M. & Greffet, J.-J. Quantum thermal bath for molecular dynamics simulation. Phys. Rev. Lett. 103, 190601 (2009).

    Article  PubMed  CAS  Google Scholar 

  83. Ceriotti, M., Bussi, G. & Parrinello, M. Colored-noise thermostats à la carte. J. Chem. Theory Comput. 6, 1170–1180 (2010).

    Article  CAS  Google Scholar 

  84. Rossi, M., Kapil, V. & Ceriotti, M. Fine tuning classical & quantum molecular dynamics using a generalized Langevin equation. J. Chem. Phys. 148, 102301 (2018).

    Article  PubMed  CAS  Google Scholar 

  85. Ceriotti, M., Manolopoulos, D. E. & Parrinello, M. Accelerating the convergence of path integral dynamics with a generalized Langevin equation. J. Chem. Phys. 134, 84104 (2011).

    Article  CAS  Google Scholar 

  86. Ceriotti, M. & Manolopoulos, D. E. Efficient first-principles calculation of the quantum kinetic energy and momentum distribution of nuclei. Phys. Rev. Lett. 109, 100604 (2012).

    Article  PubMed  CAS  Google Scholar 

  87. Uhl, F., Marx, D. & Ceriotti, M. Accelerated path integral methods for atomistic simulations at ultra-low temperatures. J. Chem. Phys. 145, 054101 (2016).

    Article  PubMed  CAS  Google Scholar 

  88. Tuckerman, M. E., Marx, D., Klein, M. L. & Parrinello, M. On the quantum nature of the shared proton in hydrogen bonds. Science 275, 817–820 (1997).

    Article  CAS  PubMed  Google Scholar 

  89. Marx, D., Benoit, M. & Parrinello, M. Tunnelling and zero-point motion in high-pressure ice. Nature 392, 258–261 (1998).

    Article  CAS  Google Scholar 

  90. Marx, D., Tuckerman, M. E., Hutter, J. & Parrinello, M. The nature of the hydrated excess proton in water. Nature 397, 601–604 (1999).

    Article  CAS  Google Scholar 

  91. Tuckerman, M. E., Marx, D. & Parrinello, M. The nature and transport mechanism of hydrated hydroxide ions in aqueous solution. Nature 417, 925–930 (2002).

    Article  CAS  PubMed  Google Scholar 

  92. Berne, B. J. & Thirumalai, D. On the simulation of quantum systems: path integral methods. Annu. Rev. Phys. Chem. 37, 401–424 (1986).

    Article  CAS  Google Scholar 

  93. Rossky, P. J. in Hydrogen-Bonded Liquids (eds Dore, J. C. & Teixeira, J. ) 49–57 (Springer Netherlands, 1991).

    Book  Google Scholar 

  94. Marx, D. & Muser, M. H. Path-integral simulations of rotors: theory and applications. J. Phys. Condens. Matter 11, R117–R155 (1999).

    Article  CAS  Google Scholar 

  95. Marx, D. & Hutter, J. Ab Initio Molecular Dynamics: Basic Theory and Advanced Methods (Cambridge Univ. Press, 2009).

    Book  Google Scholar 

  96. Marx, D. Proton transfer 200 years after von Grotthuss: insights from ab initio simulations. Chemphyschem 7, 1848–1870 (2006).

    Article  CAS  PubMed  Google Scholar 

  97. Paesani, F. & Voth, G. A. The properties of water: insights from quantum simulations. J. Phys. Chem. 113, 5702–5719 (2009).

    Article  CAS  Google Scholar 

  98. Ceriotti, M. et al. Nuclear quantum effects in water and aqueous systems: experiment, theory, and current challenges. Chem. Rev. 116, 7529–7550 (2016).

    Article  CAS  PubMed  Google Scholar 

  99. Habershon, S., Markland, T. E. & Manolopoulos, D. E. Competing quantum effects in the dynamics of a flexible water model. J. Chem. Phys. 131, 024501 (2009).

    Article  PubMed  CAS  Google Scholar 

  100. Li, X.-Z., Walker, B. & Michaelides, A. Quantum nature of the hydrogen bond. Proc. Natl Acad. Sci. USA 108, 6369–6373 (2011).

    Article  CAS  PubMed Central  Google Scholar 

  101. McKenzie, R. H., Bekker, C., Athokpam, B. & Ramesh, S. G. Effect of quantum nuclear motion on hydrogen bonding. J. Chem. Phys. 140, 174508 (2014).

    Article  PubMed  CAS  Google Scholar 

  102. Markland, T. E. & Berne, B. J. Unraveling quantum mechanical effects in water using isotopic fractionation. Proc. Natl Acad. Sci. USA 109, 7988–7991 (2012).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  103. Wang, L., Ceriotti, M. & Markland, T. E. Quantum fluctuations and isotope effects in ab initio descriptions of water. J. Chem. Phys. 141, 104502 (2014).

    Article  PubMed  CAS  Google Scholar 

  104. Nagata, Y., Pool, R. E., Backus, E. H. G. & Bonn, M. Nuclear quantum effects affect bond orientation of water at the water-vapor interface. Phys. Rev. Lett. 109, 226101 (2012).

    Article  PubMed  CAS  Google Scholar 

  105. Liu, J. et al. A surface-specific isotope effect in mixtures of light and heavy water. J. Phys. Chem. C 117, 2944–2951 (2013).

    Article  CAS  Google Scholar 

  106. Videla, P. E., Rossky, P. J. & Laria, D. Surface isotope segregation as a probe of temperature in water nanoclusters. J. Phys. Chem. Lett. 5, 2375–2379 (2014).

    Article  CAS  PubMed  Google Scholar 

  107. Videla, P. E., Rossky, P. J. & Laria, D. Isotopic preferential solvation of I in low-temperature water nanoclusters. J. Phys. Chem. B 119, 11783–11790 (2015).

    Article  CAS  PubMed  Google Scholar 

  108. Dupuis, R., Benoit, M., Tuckerman, M. E. & Meheut, M. Importance of a fully anharmonic treatment of equilibrium isotope fractionation properties of dissolved ionic species as evidenced by li(aq). Acc. Chem. Res. 50, 1597–1605 (2017).

    Article  CAS  PubMed  Google Scholar 

  109. Zachos, J. Trends, rhythms, and aberrations in global climate 65 ma to present. Science 292, 686–693 (2001).

    Article  CAS  PubMed  Google Scholar 

  110. Worden, J. et al. Importance of rain evaporation and continental convection in the tropical water cycle. Nature 445, 528–532 (2007).

    Article  CAS  PubMed  Google Scholar 

  111. Harris, T. K., Zhao, Q. & Mildvan, A. S. NMR studies of strong hydrogen bonds in enzymes and in a model compound. J. Mol. Struct. 552, 97–109 (2000).

    Article  CAS  Google Scholar 

  112. McKenzie, R. H., Athokpam, B. & Ramesh, S. G. Isotopic fractionation in proteins as a measure of hydrogen bond length. J. Chem. Phys. 143, 044309 (2015).

    Article  PubMed  CAS  Google Scholar 

  113. Cheng, B., Behler, J. & Ceriotti, M. Nuclear quantum effects in water at the triple point: using theory as a link between experiments. J. Phys. Chem. Lett 7, 2210–2215 (2016).

    Article  CAS  PubMed  Google Scholar 

  114. Andreani, C., Colognesi, D., Mayers, J., Reiter, G. F. & Senesi, R. Measurement of momentum distribution of lightatoms and molecules in condensed matter systems using inelastic neutron scattering. Adv. Phys. 54, 377–469 (2005).

    Article  CAS  Google Scholar 

  115. Pantalei, C. et al. Proton momentum distribution of liquid water from room temperature to the supercritical phase. Phys. Rev. Lett. 100, 177801 (2008).

    Article  CAS  PubMed  Google Scholar 

  116. Romanelli, G. et al. Direct measurement of competing quantum effects on the kinetic energy of heavy water upon melting. J. Phys. Chem. Lett. 4, 3251–3256 (2013).

    Article  CAS  Google Scholar 

  117. Fang, W. et al. Inverse temperature dependence of nuclear quantum effects in DNA base pairs. J. Phys. Chem. Lett. 7, 2125–2131 (2016).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  118. Perez, A., Tuckerman, M. E., Hjalmarson, H. P. & Anatole von Lilienfeld, O. Enol tautomers of Watson–Crick base pair models are metastable because of nuclear quantum effects. J. Am. Chem. Soc. 132, 11510–11515 (2010).

    Article  CAS  PubMed  Google Scholar 

  119. Rossi, M., Fang, W. & Michaelides, A. Stability of complex biomolecular structures: van der Waals, hydrogen bond cooperativity and nuclear quantum effects. J. Phys. Chem. Lett 6, 4233–4238 (2015).

    Article  CAS  PubMed  Google Scholar 

  120. Reddy, S. K. et al. On the accuracy of the MB-pol many-body potential for water: interaction energies, vibrational frequencies, and classical thermodynamic and dynamical properties from clusters to liquid water and ice. J. Chem. Phys. 145, 194504 (2016).

    Article  PubMed  CAS  Google Scholar 

  121. Ceriotti, M., Cuny, J., Parrinello, M. & Manolopoulos, D. E. Nuclear quantum effects and hydrogen bond fluctuations in water. Proc. Natl Acad. Sci. USA 110, 15591–15596 (2013).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  122. Schran, C., Marsalek, O. & Markland, T. E. Unravelling the influence of quantum proton delocalization on electronic charge transfer through the hydrogen bond. Chem. Phys. Lett. 678, 289–295 (2017).

    Article  CAS  Google Scholar 

  123. Hollas, D., Muchova, E. & Slavicek, P. Modeling liquid photoemission spectra: path-integral molecular dynamics combined with tuned range-separated hybrid functionals. J. Chem. Theory Comput. 12, 5009–5017 (2016).

    Article  CAS  PubMed  Google Scholar 

  124. Sappati, S., Hassanali, A., Gebauer, R. & Ghosh, P. Nuclear quantum effects in a HIV/cancer inhibitor: The case of ellipticine. J. Chem. Phys. 145, 205102 (2016).

    Article  PubMed  CAS  Google Scholar 

  125. Rybkin, V. V. & VandeVondele, J. Nuclear quantum effects on aqueous electron attachment and redox properties. J. Phys. Chem. Lett. 8, 1424–1428 (2017).

    Article  CAS  PubMed  Google Scholar 

  126. Wang, L., Fried, S. D. & Markland, T. E. Proton network flexibility enables robustness and large electric fields in the ketosteroid isomerase active site. J. Phys. Chem. B 121, 9807–9815 (2017).

    Article  CAS  PubMed  Google Scholar 

  127. Fried, S. D., Bagchi, S. & Boxer, S. G. Extreme electric fields power catalysis in the active site of ketosteroid isomerase. Science 346, 1510–1514 (2014).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  128. Pinotsi, D. et al. Proton transfer and structure-specific fluorescence in hydrogen bond-rich protein structures. J. Am. Chem. Soc. 138, 3046–3057 (2016).

    Article  CAS  PubMed  Google Scholar 

  129. Hone, T. D., Rossky, P. J. & Voth, G. A. A comparative study of imaginary time path integral based methods for quantum dynamics. J. Chem. Phys. 124, 154103 (2006).

    Article  PubMed  CAS  Google Scholar 

  130. Rossi, M., Ceriotti, M. & Manolopoulos, D. E. How to remove the spurious resonances from ring polymer molecular dynamics. J. Chem. Phys. 140, 234116 (2014).

    Article  PubMed  CAS  Google Scholar 

  131. Rossi, M., Ceriotti, M. & Manolopoulos, D. E. Nuclear quantum effects in H+ and OH diffusion along confined water wires. J. Phys. Chem. Lett. 7, 3001–3007 (2016).

    Article  CAS  PubMed  Google Scholar 

  132. Napoli, J. A., Marsalek, O. & Markland, T. E. Decoding the spectroscopic features and timescales of aqueous proton defects. arXiv, 1709.05740 (2017).

  133. Burke, K. Perspective on density functional theory. J. Chem. Phys. 136, 150901 (2012).

    Article  PubMed  CAS  Google Scholar 

  134. Klimes, J. & Michaelides, A. Perspective: Advances and challenges in treating van der Waals dispersion forces in density functional theory. J. Chem. Phys. 137, 120901 (2012).

    Article  PubMed  CAS  Google Scholar 

  135. Marzari, N. Materials modelling: the frontiers and the challenges. Nat. Mater. 15, 381–382 (2016).

    Article  CAS  PubMed  Google Scholar 

  136. Ceriotti, M. et al. Nuclear quantum effects in ab initio dynamics: theory and experiments for lithium imide. Phys. Rev. B 82, 174306 (2010).

    Article  CAS  Google Scholar 

  137. Miceli, G., Ceriotti, M., Bernasconi, M. & Parrinello, M. Static disorder and structural correlations in the low-temperature phase of lithium imide. Phys. Rev. B 83, 054119 (2011).

    Article  CAS  Google Scholar 

  138. Morrone, J. A. & Car, R. Nuclear quantum effects in water. Phys. Rev. Lett. 101, 17801 (2008).

    Article  CAS  Google Scholar 

  139. Lin, L., Morrone, J. A., Car, R. & Parrinello, M. Displaced path integral formulation for the momentum distribution of quantum particles. Phys. Rev. Lett. 105, 110602 (2010).

    Article  PubMed  CAS  Google Scholar 

  140. Khaliullin, R. Z., Eshet, H., Kühne, T. D., Behler, J. & Parrinello, M. Graphite-diamond phase coexistence study employing a neural-network mapping of the ab initio potential energy surface. Phys. Rev. B 81, 100103 (2010).

    Article  CAS  Google Scholar 

  141. Hassanali, A. A., Cuny, J., Ceriotti, M., Pickard, C. J. & Parrinello, M. The fuzzy quantum proton in the hydrogen chloride hydrates. J. Am. Chem. Soc 134, 8557–8569 (2012).

    Article  CAS  PubMed  Google Scholar 

  142. Dammak, H., Antoshchenkova, E., Hayoun, M. & Finocchi, F. Isotope effects in lithium hydride and lithium deuteride crystals by molecular dynamics simulations. J. Phys. Condens. Matter 24, 435402 (2012).

    Article  PubMed  CAS  Google Scholar 

  143. Shen, Y. & Reed, E. J. Quantum nuclear effects in stishovite crystallization in shock-compressed fused silica. J. Phys. Chem. C 120, 17759–17766 (2016).

    Article  CAS  Google Scholar 

  144. Liu, R. & Wang, L. Thermal vibration of a single-walled carbon nanotube predicted by semi-quantum molecular dynamics. Phys. Chem. Chem. Phys. 17, 5194–5201 (2015).

    Article  CAS  PubMed  Google Scholar 

  145. Löfgren, A., Zeiger, P., Kocevski, V. & Rusz, J. Influence of nuclear quantum effects on frozen phonon simulations of electron vortex beam HAADF-STEM images. Ultramicroscopy 164, 62–69 (2016).

    Article  PubMed  CAS  Google Scholar 

  146. Bronstein, Y., Depondt, P., Finocchi, F. & Saitta, A. M. Quantum-driven phase transition in ice described via an efficient Langevin approach. Phys. Rev. B 89, 214101 (2014).

    Article  CAS  Google Scholar 

  147. Bronstein, Y. et al. Quantum versus classical protons in pure and salty ice under pressure. Phys. Rev. B 93, 024104 (2016).

    Article  CAS  Google Scholar 

  148. Brieuc, F., Dammak, H. & Hayoun, M. Quantum thermal bath for path integral molecular dynamics simulation. J. Chem. Theory Comput. 12, 1351–1359 (2016).

    Article  CAS  PubMed  Google Scholar 

  149. Morales, M. A., McMahon, J. M., Pierleoni, C. & Ceperley, D. M. Towards a predictive first-principles description of solid molecular hydrogen with density functional theory. Phys. Rev. B 87, 1–9 (2013).

    Google Scholar 

  150. Pierleoni, C., Ceperley, D. M. & Holzmann, M. Coupled electron-ion monte carlo calculations of dense metallic hydrogen. Phys. Rev. Lett. 93, 146402 (2004).

    Article  PubMed  CAS  Google Scholar 

  151. Hayes, R. L., Paddison, S. J. & Tuckerman, M. E. Proton transport in triflic acid hydrates studied via path integral Car-Parrinello molecular dynamics. J. Phys. Chem. B 113, 16574–16589 (2009).

    Article  CAS  PubMed  Google Scholar 

  152. Hayes, R. L., Paddison, S. J. & Tuckerman, M. E. Proton transport in triflic acid pentahydrate studied via ab initio path integral molecular dynamics. J. Phys. Chem. A 115, 6112–6124 (2011).

    Article  CAS  PubMed  Google Scholar 

  153. Vilčiauskas, L., Tuckerman, M. E., Bester, G., Paddison, S. J. & Kreuer, K. The mechanism of proton conduction in phosphoric acid. Nat. Chem. 4, 461–466 (2012).

    Article  PubMed  CAS  Google Scholar 

  154. Heres, M., Wang, Y., Griffin, P. J., Gainaru, C. & Sokolov, A. P. Proton conductivity in phosphoric acid: the role of quantum effects. Phys. Rev. Lett. 117, 156001 (2016).

    Article  CAS  PubMed  Google Scholar 

  155. Zhang, Q., Wahnstrom, G., Bjorketun, M. E., Gao, S. & Wang, E. Path integral treatment of proton transport processes in BaZrO3. Phys. Rev. Lett. 101, 215902 (2008).

    Article  PubMed  CAS  Google Scholar 

  156. Kimizuka, H., Mori, H. & Ogata, S. Effect of temperature on fast hydrogen diffusion in iron: a path-integral quantum dynamics approach. Phys. Rev. B 83, 094110 (2011).

    Article  CAS  Google Scholar 

  157. Suleimanov, Y. V. Surface diffusion of hydrogen on Ni(100) from ring polymer molecular dynamics. J. Phys. Chem. C 116, 11141–11153 (2012).

    Article  CAS  Google Scholar 

  158. Cendagorta, J. R. et al. Competing quantum effects in the free energy profiles and diffusion rates of hydrogen and deuterium molecules through clathrate hydrates. Phys. Chem. Chem. Phys. 18, 32169–32177 (2016).

    Article  CAS  PubMed  Google Scholar 

  159. Errea, I. et al. High-pressure hydrogen sulfide from first principles: a strongly anharmonic phonon-mediated superconductor. Phys. Rev. Lett. 114, 157004 (2015).

    Article  PubMed  CAS  Google Scholar 

  160. Errea, I. et al. Quantum hydrogen-bond symmetrization in the superconducting hydrogen sulfide system. Nature 532, 81–84 (2016).

    Article  CAS  PubMed  Google Scholar 

  161. VandeVondele, J. et al. Quickstep: Fast and accurate density functional calculations using a mixed Gaussian and plane waves approach. Comp. Phys. Comm. 167, 103–128 (2005).

    Article  CAS  Google Scholar 

  162. Plimpton, S. Fast parallel algorithms for short-range molecular dynamics. J. Comput. Phys. 117, 1–19 (1995).

    Article  CAS  Google Scholar 

  163. Eastman, P. et al. OpenMM 4: A reusable, extensible, hardware independent library for high performance molecular simulation. J. Chem. Theory Comput. 9, 461–469 (2013).

    Article  CAS  PubMed  Google Scholar 

  164. Tuckerman, M. E., Yarne, D. A., Samuelson, S. O., Hughes, A. L. & Martyna, G. J. Exploiting multiple levels of parallelism in molecular dynamics based calculations via modern techniques and software paradigms on distributed memory computers. Computer Phys. Commun. 128, 333–376 (2000).

    Article  CAS  Google Scholar 

  165. Giannozzi, P. et al. Quantum Espresso: a modular and open-source software project for quantum simulations of materials. J. Phys. Condens. Matter 21, 395502–395519 (2009).

    Article  PubMed  Google Scholar 

  166. Soler, J. M. et al. The SIESTA method for ab initio order-N materials simulation. J. Phys. Condens. Matter 14, 2745 (2002).

    Article  CAS  Google Scholar 

  167. Blum, V. et al. Ab initio molecular simulations with numeric atom-centered orbitals. Comp. Phys. Comm. 180, 2175–2196 (2009).

    Article  CAS  Google Scholar 

  168. Aradi, B., Hourahine, B. & Frauenheim, T. DFTB, a sparse matrix-based implementation of the DFTB method. J. Phys. Chem. A 111, 5678–5684 (2007).

    Article  CAS  PubMed  Google Scholar 

  169. Martin, R. M., Reining, L. & Ceperley, D. M. Interacting Electrons: Theory and Computational Approaches (Cambridge Univ. Press, 2016).

    Book  Google Scholar 

  170. Walewski, L., Forbert, H. & Marx, D. Reactive path integral quantum simulations of molecules solvated in superfluid helium. Computer Phys. Commun. 185, 884–899 (2014).

    Article  CAS  Google Scholar 

  171. Walewski, L., Forbert, H. & Marx, D. Solvation of molecules in superfluid helium enhances the “interaction induced localization” effect. J. Chem. Phys. 140, 144305 (2014).

    Article  PubMed  CAS  Google Scholar 

  172. Boninsegni, M., Prokofev, N. V. & Svistunov, B. V. Worm algorithm and diagrammatic Monte Carlo: a new approach to continuous-space path integral monte carlo simulations. Phys. Rev. E 74, 036701 (2006).

    Article  CAS  Google Scholar 

  173. Quhe, R., Nava, M., Tiwary, P. & Parrinello, M. Path integral metadynamics. J. Chem. Theory Comput. 11, 1383–1388 (2015).

    Article  CAS  PubMed  Google Scholar 

  174. Habershon, S., Fanourgakis, G. S. & Manolopoulos, D. E. Comparison of path integral molecular dynamics methods for the infrared absorption spectrum of liquid water. J. Chem. Phys. 129, 074501 (2008).

    Article  PubMed  CAS  Google Scholar 

  175. Witt, A. W., Ivanov, S. D., Shiga, M., Forbert, H. & Marx, D. On the applicability of centroid and ring polymer path integral molecular dynamics for vibrational spectroscopy. J. Chem. Phys. 130, 194510 (2009).

    Article  PubMed  CAS  Google Scholar 

  176. Ivanov, S. D., Witt, A., Shiga, M. & Marx, D. Communications: On artificial frequency shifts in infrared spectra obtained from centroid molecular dynamics: Quantum liquid water. J. Chem. Phys. 132, 031101 (2010).

    Article  PubMed  CAS  Google Scholar 

  177. Rossi, M., Liu, H., Paesani, F., Bowman, J. & Ceriotti, M. Communication: On the consistency of approximate quantum dynamics simulation methods for vibrational spectra in the condensed phase. J. Chem. Phys. 141, 181101 (2014).

    Article  PubMed  CAS  Google Scholar 

  178. Braams, B. J. & Manolopoulos, D. E. On the short-time limit of ring polymer molecular dynamics. J. Chem. Phys. 125, 124105 (2006).

    Article  PubMed  CAS  Google Scholar 

  179. Jang, S., Sinitskiy, A. V. & Voth, G. A. Can the ring polymer molecular dynamics method be interpreted as real time quantum dynamics? J. Chem. Phys. 140, 154103 (2014).

    Article  CAS  Google Scholar 

  180. Hele, T. J. H., Willatt, M. J., Muolo, A. & Althorpe, S. C. Communication: Relation of centroid molecular dynamics and ring-polymer molecular dynamics to exact quantum dynamics. J. Chem. Phys. 142, 191101 (2015).

    Article  PubMed  CAS  Google Scholar 

  181. Shushkov, P., Li, R. & Tully, J. C. Ring polymer molecular dynamics with surface hopping. J. Chem. Phys. 137, 22549A (2012).

    Article  CAS  Google Scholar 

  182. Ananth, N. Mapping variable ring polymer molecular dynamics: a path-integral based method for nonadiabatic processes. J. Chem. Phys. 139, 124102 (2013).

    Article  PubMed  CAS  Google Scholar 

  183. Richardson, J. O. & Thoss, M. Communication: nonadiabatic ring-polymer molecular dynamics. J. Chem. Phys. 139, 031102 (2013).

    Article  PubMed  CAS  Google Scholar 

  184. Kretchmer, J. S. & Miller III, T. F. Kinetically-constrained ring-polymer molecular dynamics for non-adiabatic chemistries involving solvent and donor–acceptor dynamical effects. Faraday Discuss. 195, 191–214 (2016).

    Article  CAS  PubMed  Google Scholar 

  185. Shakib, F. A. & Huo, P. Ring polymer surface hopping: Incorporating nuclear quantum effects into nonadiabatic molecular dynamics simulations. J. Phys. Chem. Lett. 8, 3073–3080 (2017).

    Article  CAS  PubMed  Google Scholar 

  186. Gallicchio, E. & Berne, B. J. On the calculation of dynamical properties of solvated electrons by maximum entropy analytic continuation of path integral Monte Carlo data. J. Chem. Phys. 105, 7064–7078 (1996).

    Article  CAS  Google Scholar 

  187. Habershon, S., Braams, B. J. & Manolopoulos, D. E. Quantum mechanical correlation functions, maximum entropy analytic continuation and ring polymer molecular dynamics. J. Chem. Phys. 127, 174108 (2007).

    Article  PubMed  CAS  Google Scholar 

  188. Cao, J. & Voth, G. A. A unified framework for quantum activated rate processes. I. General theory. J. Chem. Phys. 105, 6856–6870 (1996).

    Article  CAS  Google Scholar 

  189. Miller, W. H. The semiclassical initial value representation: a potentially practical way for adding quantum effects to classical molecular dynamics simulations. J. Phys. Chem. A 105, 2942–2955 (2001).

    Article  CAS  Google Scholar 

  190. Miller, W. H. Including quantum effects in the dynamics of complex (that is, large) molecular systems. J. Chem. Phys. 125, 132305 (2006).

    Article  PubMed  CAS  Google Scholar 

  191. Miller, W. H. Perspective: Quantum or classical coherence? J. Chem. Phys. 136, 210901 (2012).

    Article  PubMed  CAS  Google Scholar 

  192. Hele, T. J. H., Willatt, M. J., Muolo, A. & Althorpe, S. C. Boltzmann-conserving classical dynamics in quantum time-correlation functions: “Matsubara dynamics”. J. Chem. Phys. 142, 134103 (2015).

    Article  PubMed  CAS  Google Scholar 

  193. Reichman, D. R., Roy, P.-N., Jang, S. & Voth, G. A. A. Feynman path centroid dynamics approach for the computation of time correlation functions involving nonlinear operators. J. Chem. Phys. 113, 919–929 (2000).

    Article  CAS  Google Scholar 

  194. Straight, S. C. & Paesani, F. Exploring electrostatic effects on the hydrogen bond network of liquid water through many-body molecular dynamics. J. Phys. Chem. B 120, 8539–8546 (2016).

    Article  CAS  PubMed  Google Scholar 

  195. Moberg, D. R., Straight, S. C., Knight, C. & Paesani, F. Molecular origin of the vibrational structure of ice Ih . J. Phys. Chem. Lett. 8, 2579–2583 (2017).

    Article  CAS  PubMed  Google Scholar 

  196. Mueller, T. & Ceder, G. Effective interactions between the NH bond orientations in lithium imide and a proposed ground-state structure. Phys. Rev. B 74, 134104 (2006).

    Article  CAS  Google Scholar 

  197. Magyari-Kope, B. Ozolicns, V., Wolverton, C. & Ozolis, V. Theoretical prediction of low-energy crystal structures, V. and hydrogen storage energetics in Li2NH. Phys. Rev. B 73, 220101 (2006).

    Article  CAS  Google Scholar 

Download references

Acknowledgements

M.C. was supported by the European Research Council under the European Union's Horizon 2020 research and innovation programme (Grant Agreement No. 677013-HBMAP), and the Swiss National Science Foundation (Project No. 200021-159896). T.E.M. was supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, under Award Number DE-SC0014437 and the National Science Foundation under Grant No. CHE-1652960. T.E.M. also acknowledges support from a Cottrell Scholarship from the Research Corporation for Science Advancement and the Camille Dreyfus Teacher-Scholar Awards Program.

Author information

Authors and Affiliations

Authors

Contributions

All authors contributed equally to the preparation of this manuscript.

Corresponding authors

Correspondence to Thomas E. Markland or Michele Ceriotti.

Ethics declarations

Competing interests

The authors declare no competing interests.

PowerPoint slides

Glossary

Zero-point energy

(ZPE). The minimum amount of energy a quantum particle must possess, even at 0 K.

Tunnelling

The ability of quantum particles to pass through a barrier rather than traverse over it, as required in classical mechanics.

Exchange effects

The effects arising from the exchange of indistinguishable particles in quantum mechanics. These are generally substantial for electrons but are often small for nuclei, except at low temperatures (although ortho-hydrogen and para-hydrogen still exhibit some differences even at room temperature).

Centroid

The centre of the imaginary time path that is obtained by taking the mean position of the replicas that comprise it.

Estimators

Formulae to compute an observed property from simulation data.

Ergodicity

The assumption that as a particle evolves in time, it will visit all states with the appropriate frequency associated with the required distribution (e.g. Boltzmann).

Normal-mode or staging representation

Methods of decoupling the spring terms in the imaginary time path integral Hamiltonian.

Quantum thermostat

A method that includes quantum effects by applying a non-equilibrium Langevin equation to a classical molecular dynamics simulation.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Markland, T., Ceriotti, M. Nuclear quantum effects enter the mainstream. Nat Rev Chem 2, 0109 (2018). https://doi.org/10.1038/s41570-017-0109

Download citation

  • Published:

  • DOI: https://doi.org/10.1038/s41570-017-0109

This article is cited by

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing