{"title":"Direct Sampling\nof Nuclear-Quantum Chemical Equilibria\nby Path-Integral Reaction Ensemble Monte Carlo","authors":"Xuan Peng","doi":"10.1021/acs.jctc.6c01815","DOIUrl":null,"url":null,"abstract":"Abstract Reaction ensemble Monte Carlo samples chemical composition directly but usually treats the explicit environment with classical nuclei, whereas path-integral methods represent nuclear quantum effects explicitly but generally infer reaction equilibria from partition-function or free-energy ratios between predefined states. We formulate path-integral reaction ensemble Monte Carlo (PI-RxMC), a reaction-constrained expanded ensemble that samples chemical sectors and nuclear paths jointly, and derive the Metropolis-Hastings rule for sector changes, including sector weights, normalization factors, proposal probabilities, coordinate transformations, and Jacobians; for fixed nuclei with changing bonding topology, the free-ring-polymer contribution cancels exactly. Independent finite-P analytical, bond-topology, and rovibrational benchmarks validate the method, and direct sector-population estimates for H2 + D2 ⇌ 2HD agree with independent quantum results from 200 to 700 K. A second benchmark, AB ⇌ A + B with Δν = +1, explicitly recovers the reaction-volume and 1 M standard-state factors and exhibits a nearly 3-fold nuclear-quantum enhancement of the equilibrium constant. A bead-level slit field further demonstrates coupling to an explicit environment.","PeriodicalId":45,"journal":{"name":"Journal of Chemical Theory and Computation","volume":"482 1","pages":""},"PeriodicalIF":5.8000,"publicationDate":"2026-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Chemical Theory and Computation","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1021/acs.jctc.6c01815","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract Reaction ensemble Monte Carlo samples chemical composition directly but usually treats the explicit environment with classical nuclei, whereas path-integral methods represent nuclear quantum effects explicitly but generally infer reaction equilibria from partition-function or free-energy ratios between predefined states. We formulate path-integral reaction ensemble Monte Carlo (PI-RxMC), a reaction-constrained expanded ensemble that samples chemical sectors and nuclear paths jointly, and derive the Metropolis-Hastings rule for sector changes, including sector weights, normalization factors, proposal probabilities, coordinate transformations, and Jacobians; for fixed nuclei with changing bonding topology, the free-ring-polymer contribution cancels exactly. Independent finite-P analytical, bond-topology, and rovibrational benchmarks validate the method, and direct sector-population estimates for H2 + D2 ⇌ 2HD agree with independent quantum results from 200 to 700 K. A second benchmark, AB ⇌ A + B with Δν = +1, explicitly recovers the reaction-volume and 1 M standard-state factors and exhibits a nearly 3-fold nuclear-quantum enhancement of the equilibrium constant. A bead-level slit field further demonstrates coupling to an explicit environment.
期刊介绍:
The Journal of Chemical Theory and Computation invites new and original contributions with the understanding that, if accepted, they will not be published elsewhere. Papers reporting new theories, methodology, and/or important applications in quantum electronic structure, molecular dynamics, and statistical mechanics are appropriate for submission to this Journal. Specific topics include advances in or applications of ab initio quantum mechanics, density functional theory, design and properties of new materials, surface science, Monte Carlo simulations, solvation models, QM/MM calculations, biomolecular structure prediction, and molecular dynamics in the broadest sense including gas-phase dynamics, ab initio dynamics, biomolecular dynamics, and protein folding. The Journal does not consider papers that are straightforward applications of known methods including DFT and molecular dynamics. The Journal favors submissions that include advances in theory or methodology with applications to compelling problems.