Abstract
Nuclear quantum effects (NQEs) are important in many physical and chemical processes--particularly those involving lighter nuclei or occurring at low temperatures. Nevertheless, NQEs have been carefully quantified in few systems, such as water, and their importance is rarely considered. Here, using path-integral molecular dynamics, we critically examine NQEs for a range of molecular properties (e.g., density, thermal expansion coefficients, isothermal compressibility, static dielectric constant, and the heat of vaporization) across 87 molecular liquids. We discover substantial NQEs in this broad chemical space, with molar volumes exhibiting differences of up to 5% between classical and quantum treatments; similar magnitudes are revealed in equilibrium isotope effects from deuteration. Using machine learning, we identify that four molecular properties that are readily known or easily computed with classical simulations—density, molar mass, hydrogen density, and thermal expansion coefficient—are strong predictors of NQEs. Further data-driven analysis reveals how molecular factors, such as branching and heteroatom composition, influence intermolecular interactions and fluid stability and thereby affect observed NQEs. This work offers new insights into the relationship between NQEs and molecular chemistry and refines expectations for when rigorous treatment of NQEs is necessary.
Supplementary materials
Title
Supporting Information Text
Description
Analysis of NQEs across various properties. Impact of functional groups on nuclear quantum effect in molar volume. Impact of various hydrogen-bonding groups on nuclear quantum effect in molar volume. Effects of molecular branching on system characteristics. Benchmarking of TAFFI force field with experiment. NVE energy conservation in PIMD simulations. Convergence of system properties via ring-polymer bead count. Impact of force field on nuclear quantum effect in molar volume.
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