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The symmetrical quasi-classical (SQC) method recently proposed by Miller and Cotton allows one to simulate nonadiabatic dynamics based on an algorithm with classical-like scaling with respect to system size. This is made possible by casting the electronic degrees of freedom in terms of mapping variables that can be propagated in a classical-like manner. While SQC was shown to be rather accurate when applied to benchmark models with harmonic electronic potential energy surfaces, it was also found to become inaccurate and to suffer numerical instabilities when applied to anharmonic systems. In this paper, we propose an extended SQC (E-SQC) methodology for overcoming those discrepancies by describing the anharmonic nuclear modes, which are coupled to the electronic degrees of freedom, in terms of classical-like mapping variables. The accuracy of E-SQC relative to standard SQC is demonstrated on benchmark models with quartic and Morse potential energy surfaces.
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http://dx.doi.org/10.1021/acs.jpclett.7b03002 | DOI Listing |
Nanoscale
September 2025
School of Materials Science and Engineering, Beihang University, Beijing 100191, China.
The challenge of photocatalytic hydrogen production has motivated a targeted search for MXenes as a promising class of materials for this transformation because of their high mobility and high light absorption. High-throughput screening has been widely used to discover new materials, but the relatively high cost limits the chemical space for searching MXenes. We developed a deep-learning-enabled high-throughput screening approach that identified 14 stable candidates with suitable band alignment for water splitting from 23 857 MXenes.
View Article and Find Full Text PDFJ Chem Theory Comput
September 2025
Key Laboratory of Theoretical and Computational Photochemistry, Ministry of Education, College of Chemistry, Beijing Normal University, Beijing 100875, China.
Accurate and efficient simulation of photoinduced dynamics in materials remains a significant challenge due to the computational cost of excited-state electronic structure calculations and the necessity to account for excitonic effects. In this work, we present a machine learning (ML)-accelerated approach to nonadiabatic molecular dynamics simulations that incorporates excitonic effects by predicting excited-state wave functions via configuration interaction coefficients and excitation energies using a graph neural network (GNN) architecture. The GNN model leverages molecular orbital information from ground-state calculations to construct input graphs, enabling efficient and accurate prediction of relevant excited-state wave functions and energies required for ab initio-based fewest-switches surface hopping simulations.
View Article and Find Full Text PDFJ Phys Chem Lett
September 2025
State Key Laboratory of Chemistry for NBC Hazards Protection, College of Chemistry, Fuzhou University, Fuzhou 350116, China.
Two-dimensional (2D) group III-IV-VI semiconductors show great potential for application in energy conversion fields. Herein, using density functional theory (DFT) calculations in conjunction with nonadiabatic molecular dynamics (NAMD) simulations and the nonequilibrium Green's function (NEGF) method, the photovoltaic performance of MGeSe (M = Ga and In) monolayers is systematically investigated. The MGeSe monolayers exhibit direct band gap semiconductor characteristics with strong optical absorption in the visible light region.
View Article and Find Full Text PDFJ Chem Phys
September 2025
Beijing National Laboratory for Molecular Sciences, State Key Laboratory for Structural Chemistry of Unstable and Stable Species, Institute of Chemistry, Chinese Academy of Sciences, Zhongguancun, Beijing 100190, China and University of Chinese Academy of Sciences, Beijing 100049, China.
We develop a multiset matrix product state (MPS) approach based on the time-dependent variational principle to solve the hierarchical equations of motion (HEOM) for the fermionic bath and apply it to inelastic vibrational scattering on metal surfaces. By using a Newns-Anderson model with two nuclear degrees of freedom, we investigate the vibrational energy relaxation of NO scattering on Au(111) and Ag(111) surfaces. Our results show that the extent of vibrational relaxation depends strongly on both incident energy and molecule-surface coupling strength.
View Article and Find Full Text PDFPhys Chem Chem Phys
September 2025
Department of Chemistry, Visva-Bharati University, Santiniketan 731235, India.
We herein computationally designed a metal-free graphitic carbon nitride/γ-boron nitride (g-CN/γ-BNyne) heterostructure as a promising photocatalyst for overall water splitting and sustainable hydrogen fuel production. The heterostructure shows type-II band energy alignment and significant optical absorption in UV and near-visible regions. The studies on excited state dynamics show that the low nonadiabatic coupling between the VBM and CBM in the heterostructure and the faster decoherence time (22.
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