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Which quantum statistics-classical dynamics method is best for water?

Raz L Benson1, George Trenins, Stuart C Althorpe

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|September 28, 2019
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Summary
This summary is machine-generated.

Comparing quantum dynamics simulation methods for water, quasi-centroid molecular dynamics (QCMD) best reproduces fundamental transitions, while linearised semi-classical initial value representation (LSC-IVR) offers the best overall spectrum. Thermostatted ring-polymer molecular dynamics (TRPMD) is the most cost-effective.

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Area of Science:

  • Computational Chemistry
  • Quantum Dynamics
  • Spectroscopy

Background:

  • Accurately simulating nuclear quantum effects in molecular dynamics is crucial for understanding chemical systems.
  • Several methods exist, including thermostatted ring-polymer molecular dynamics (TRPMD), centroid molecular dynamics (CMD), quasi-centroid molecular dynamics (QCMD), and linearised semi-classical initial value representation (LSC-IVR).

Purpose of the Study:

  • To systematically compare the performance of TRPMD, CMD, QCMD, and LSC-IVR methods.
  • To evaluate their accuracy in calculating the infrared spectrum of water across different phases (gas, liquid, ice).

Main Methods:

  • Calculation of infrared spectra for water using TRPMD, CMD, QCMD, and LSC-IVR.
  • Application to gas, liquid, and ice phases using the q-TIP4P/F model potential.
  • Extension of spectra into the near-infrared region to analyze overtone and combination bands.

Main Results:

  • QCMD demonstrated the highest accuracy for reproducing fundamental spectral transitions.
  • LSC-IVR provided the best overall spectral description, despite significant errors in the bend fundamental band due to zero-point-energy leakage.
  • TRPMD yielded damped spectra comparable to QCMD and proved to be the most computationally efficient method.

Conclusions:

  • QCMD is recommended for accurately capturing fundamental vibrational frequencies in water spectra.
  • LSC-IVR offers a comprehensive spectral representation but requires careful consideration of potential errors.
  • TRPMD presents a computationally inexpensive alternative for obtaining damped spectral features.