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Title: Persistent Homology Metrics Reveal Quantum Fluctuations and Reactive Atoms in Path Integral Dynamics

Abstract

Nuclear quantum effects (NQEs) are known to impact a number of features associated with chemical reactivity and physicochemical properties, particularly for light atoms and at low temperatures. In the imaginary time path integral formalism, each atom is mapped onto a “ring polymer” whose spread is related to the quantum mechanical uncertainty in the particle’s position, i.e., its thermal wavelength. A number of metrics have previously been used to investigate and characterize this spread and explain effects arising from quantum delocalization, zero-point energy, and tunneling. Many of these shape metrics consider just the instantaneous structure of the ring polymers. However, given the significant interest in methods such as centroid molecular dynamics and ring polymer molecular dynamics that link the molecular dynamics of these ring polymers to real time properties, there exists significant opportunity to exploit metrics that also allow for the study of the fluctuations of the atom delocalization in time. Here we consider the ring polymer delocalization from the perspective of computational topology, specifically persistent homology, which describes the 3-dimensional arrangement of point cloud data, (i.e. atomic positions). We employ the Betti sequence probability distribution to define the ensemble of shapes adopted by the ring polymer. The Wasserstein distances ofmore » Betti sequences adjacent in time are used to characterize fluctuations in shape, where the Fourier transform and associated principal components provides added information differentiating atoms with different NQEs based on their dynamic properties. We demonstrate this methodology on two representative systems, a glassy system consisting of two atom types with dramatically different de Broglie thermal wavelengths, and ab initio molecular dynamics simulation of an aqueous 4 M HCl solution where the H-atoms are differentiated based on their participation in proton transfer reactions.« less

Authors:
; ; ; ; ;
Publication Date:
Research Org.:
Univ. of California, Merced, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES); National Science Foundation (NSF)
OSTI Identifier:
1769441
Alternate Identifier(s):
OSTI ID: 1851928
Grant/Contract Number:  
SC0014437; DBI-1661348; DMS-1819229
Resource Type:
Published Article
Journal Name:
Frontiers in Chemistry
Additional Journal Information:
Journal Name: Frontiers in Chemistry Journal Volume: 9; Journal ID: ISSN 2296-2646
Publisher:
Frontiers Media SA
Country of Publication:
Switzerland
Language:
English
Subject:
37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY; Chemistry; path integral molecular dynamics; persistent homology; quantum delocalization; proton transfer; Wasserstein distances

Citation Formats

Hu, Yunfeng, Ounkham, Phonemany, Marsalek, Ondrej, Markland, Thomas E., Krishmoorthy, Bala, and Clark, Aurora E. Persistent Homology Metrics Reveal Quantum Fluctuations and Reactive Atoms in Path Integral Dynamics. Switzerland: N. p., 2021. Web. doi:10.3389/fchem.2021.624937.
Hu, Yunfeng, Ounkham, Phonemany, Marsalek, Ondrej, Markland, Thomas E., Krishmoorthy, Bala, & Clark, Aurora E. Persistent Homology Metrics Reveal Quantum Fluctuations and Reactive Atoms in Path Integral Dynamics. Switzerland. https://doi.org/10.3389/fchem.2021.624937
Hu, Yunfeng, Ounkham, Phonemany, Marsalek, Ondrej, Markland, Thomas E., Krishmoorthy, Bala, and Clark, Aurora E. Fri . "Persistent Homology Metrics Reveal Quantum Fluctuations and Reactive Atoms in Path Integral Dynamics". Switzerland. https://doi.org/10.3389/fchem.2021.624937.
@article{osti_1769441,
title = {Persistent Homology Metrics Reveal Quantum Fluctuations and Reactive Atoms in Path Integral Dynamics},
author = {Hu, Yunfeng and Ounkham, Phonemany and Marsalek, Ondrej and Markland, Thomas E. and Krishmoorthy, Bala and Clark, Aurora E.},
abstractNote = {Nuclear quantum effects (NQEs) are known to impact a number of features associated with chemical reactivity and physicochemical properties, particularly for light atoms and at low temperatures. In the imaginary time path integral formalism, each atom is mapped onto a “ring polymer” whose spread is related to the quantum mechanical uncertainty in the particle’s position, i.e., its thermal wavelength. A number of metrics have previously been used to investigate and characterize this spread and explain effects arising from quantum delocalization, zero-point energy, and tunneling. Many of these shape metrics consider just the instantaneous structure of the ring polymers. However, given the significant interest in methods such as centroid molecular dynamics and ring polymer molecular dynamics that link the molecular dynamics of these ring polymers to real time properties, there exists significant opportunity to exploit metrics that also allow for the study of the fluctuations of the atom delocalization in time. Here we consider the ring polymer delocalization from the perspective of computational topology, specifically persistent homology, which describes the 3-dimensional arrangement of point cloud data, (i.e. atomic positions). We employ the Betti sequence probability distribution to define the ensemble of shapes adopted by the ring polymer. The Wasserstein distances of Betti sequences adjacent in time are used to characterize fluctuations in shape, where the Fourier transform and associated principal components provides added information differentiating atoms with different NQEs based on their dynamic properties. We demonstrate this methodology on two representative systems, a glassy system consisting of two atom types with dramatically different de Broglie thermal wavelengths, and ab initio molecular dynamics simulation of an aqueous 4 M HCl solution where the H-atoms are differentiated based on their participation in proton transfer reactions.},
doi = {10.3389/fchem.2021.624937},
journal = {Frontiers in Chemistry},
number = ,
volume = 9,
place = {Switzerland},
year = {Fri Mar 05 00:00:00 EST 2021},
month = {Fri Mar 05 00:00:00 EST 2021}
}

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