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相关论文: Chemical Reaction Rates from Ring Polymer Molecula…

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Chemical reactions involve the movement of charges, and this work presents a mathematical model for describing chemical reactions in electrolytes. The model is developed using an energy variational method that aligns with classical…

化学物理 · 物理学 2023-11-02 Shixin Xu , Robert Eisenberg , Zilong Song , Huaxiong Huang

The temperature dependence of the thermal rate constant for the reaction Cl($^2$P) + CH$_4$ $\rightarrow$ CH$_3$ + HCl is calculated using a Gaussian Process machine learning (ML) approach to train on and predict thermal rate constants over…

化学物理 · 物理学 2022-08-23 Paul L. Houston , Apurba Nandi , Joel M. Bowman

Comprehensive and predictive simulation of coupled reaction networks has long been a goal of biology and other fields. Currently, metabolic network models that utilize enzyme mass action kinetics have predictive power but are limited in…

分子网络 · 定量生物学 2015-12-07 William R. Cannon , Scott E. Baker

Path-integral molecular dynamics (PIMD) simulations are crucial for accurately capturing nuclear quantum effects in materials. However, their computational intensity and reliance on multiple software packages often limit their applicability…

We present a new non-adiabatic ring polymer molecular dynamics (NRPMD) method based on the spin mapping formalism, which we refer to as the spin-mapping NRPMD (SM-NRPMD) approach. We derive the path-integral partition function expression…

化学物理 · 物理学 2021-06-02 Duncan Bossion , Sutirtha N. Chowdhury , Pengfei Huo

We present a simple and accurate computational method, which facilitates ab-initio path-integral molecular dynamics simulations, where the quantum mechanical nature of the nuclei is explicitly taken into account, at essentially no…

化学物理 · 物理学 2016-04-21 Chris John , Thomas Spura , Scott Habershon , Thomas D. Kühne

The rate constants for recombination and exchange processes are studied in terms of two different flux correlation approaches: one is the Yamamoto approach, which is based on the linear response theory, and the other is the Miller one.…

化学物理 · 物理学 2007-05-23 Koichi Saito

A new Fermionic Molecular Dynamics (FMD) model based on a Skyrme functional is proposed in this paper. After introducing the basic formalism, some first applications to nuclear structure and nuclear thermodynamics are presented

核理论 · 物理学 2009-12-17 K. H. O. Hasnaoui , Ph. Chomaz , F. Gulminelli

Quantum rate theory encompasses the electron-transfer rate constant concept of electrochemical reactions as a particular setting, besides demonstrating that the electrodynamics of these reactions obey relativistic quantum mechanical rules.…

Quantum Molecular Dynamics (QMD) calculations are used to study the expansion phase in central collisions between heavy nuclei. The final state of such a reaction can be understood as the result of a entropy conserving expansion starting…

核理论 · 物理学 2007-05-23 Jens Konopka , Horst Stoecker , Walter Greiner

Molecular Dynamics simulations are becoming a powerful tool for examining and predicting atomic and molecular processes in various environment. The present review shows how, in the fields of plasma physics, chemistry and interactions with…

等离子体物理 · 物理学 2023-12-14 Pascal Brault

A computational procedure is developed for determining the conversion probability for reaction-diffusion systems in which a first-order catalytic reaction is performed over active particles. We apply this general method to systems on metric…

软凝聚态物质 · 物理学 2020-03-19 Renato Feres , Matthew Wallace , Ari Stern , Gregory Yablonsky

The identification of meaningful reaction coordinates plays a key role in the study of complex molecular systems whose essential dynamics is characterized by rare or slow transition events. In a recent publication, precise defining…

计算物理 · 物理学 2018-11-14 Andreas Bittracher , Ralf Banisch , Christof Schütte

We present an application of Wertheim's Thermodynamic Perturbation Theory (TPT1) to a simple coarse grained model made of flexibly bonded Lennard-Jones monomers. We use both the Reference Hyper-Netted-Chain (RHNC) and Mean Spherical…

统计力学 · 物理学 2016-08-15 L. González MacDowell , M. Mueller , C. Vega , K. Binder

We present a simple interpolation formula for the rate of an electron transfer reaction as a function of the electronic coupling strength. The formula only requires the calculation of Fermi Golden Rule and Born-Oppenheimer rates and so can…

化学物理 · 物理学 2019-09-24 Joseph E. Lawrence , Theo Fletcher , Lachlan P. Lindoy , David E. Manolopoulos

A new approach to simulating warm and hot dense matter that combines density functional theory based calculations of the electronic structure to classical molecular dynamics simulations with pair interaction potentials is presented. The new…

等离子体物理 · 物理学 2015-06-22 C. E. Starrett , J. Daligault , D. Saumon

A simple model of the two-state ratchet type is proposed for molecular chemical engines that convert chemical free energy into mechanical work and vice versa. The engine works by catalyzing a chemical reaction and turning a rotor.…

统计力学 · 物理学 2018-05-22 Kazuo Sasaki , Ryo Kanada , Satoshi Amari

Our knowledge about the "cold" Universe often relies on molecular spectra. A general property of such spectra is that the energy level populations are rarely at local thermodynamic equilibrium. Solving the radiative transfer thus requires…

天体物理仪器与方法 · 物理学 2018-01-23 Jérôme Loreau , François Lique , Alexandre Faure

In this review article, we first briefly introduce the transport theory and quantum molecular dynamics model applied in the study of the heavy ion collisions from low to intermediate energies. The developments of improved quantum molecular…

核理论 · 物理学 2020-05-27 Yingxun Zhang , Ning Wang , Qingfeng Li , Li Ou , Junlong Tian , Min Liu , Kai Zhao , Xizhen Wu , Zhuxia Li

The Improved Quantum Molecular Dynamics model is further developed by introducing new parameters in interaction potential energy functional based on Skyrme interaction of SkM$^{*}$ and SLy series. The properties of ground states of selected…

核理论 · 物理学 2009-11-10 Ning Wang , Zhuxia Li , Xizhen Wu , Junlong Tian , YingXun Zhang , Min Liu