Literature DB >> 11830656

The calculation of transport properties in quantum liquids using the maximum entropy numerical analytic continuation method: application to liquid para-hydrogen.

Eran Rabani1, David R Reichman, Goran Krilov, Bruce J Berne.   

Abstract

We present a method based on augmenting an exact relation between a frequency-dependent diffusion constant and the imaginary time velocity autocorrelation function, combined with the maximum entropy numerical analytic continuation approach to study transport properties in quantum liquids. The method is applied to the case of liquid para-hydrogen at two thermodynamic state points: a liquid near the triple point and a high-temperature liquid. Good agreement for the self-diffusion constant and for the real-time velocity autocorrelation function is obtained in comparison to experimental measurements and other theoretical predictions. Improvement of the methodology and future applications are discussed.

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Year:  2002        PMID: 11830656      PMCID: PMC122155          DOI: 10.1073/pnas.261540698

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  6 in total

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4.  Semiclassical methods in chemical physics.

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5.  Quantum Monte Carlo simulations and maximum entropy: Dynamics from imaginary-time data.

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Journal:  Phys Rev B Condens Matter       Date:  1991-09-15

6.  Quantum effects on liquid dynamics as evidenced by the presence of well-defined collective excitations in liquid para-hydrogen

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Journal:  Phys Rev Lett       Date:  2000-06-05       Impact factor: 9.161

  6 in total
  3 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2005-04-28       Impact factor: 11.205

2.  An extension of stochastic hierarchy equations of motion for the equilibrium correlation functions.

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Journal:  J Chem Phys       Date:  2017-06-07       Impact factor: 3.488

3.  Nuclear Quantum Effects from the Analysis of Smoothed Trajectories: Pilot Study for Water.

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Journal:  J Chem Theory Comput       Date:  2020-04-29       Impact factor: 6.006

  3 in total

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