Basis-Discretized Surface Hopping for Auger Processes.

IF 5.7 1区 化学 Q2 CHEMISTRY, PHYSICAL
Xuhui Xu, Shriya Gumber, Oleg V Prezhdo, Run Long
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引用次数: 0

Abstract

We develop a basis-discretized nonadiabatic molecular dynamics approach that enables large-scale simulations involving millions of states. The approach introduces a density-of-states (DOS) weighted discretization scheme that maps electronic state quasi-continua onto a manageable discrete set, while preserving the original DOS profile, with enhanced resolution near band edges. Benchmarks using both time-dependent Schrödinger equation and fewest-switches surface hopping confirm that the dynamics remain consistent before and after the discretization. The method is applied to study Auger-type processes in a silicon quantum dot by reducing an otherwise intractable basis set to a manageable discretized model. The simulations show that biexciton and triexciton states significantly broaden energy dissipation pathways and accelerate electron-vibrational energy relaxation via Coulomb-mediated Auger processes, as compared to the single exciton dynamics. The work offers an efficient and robust framework for accurate simulations of excited-state dynamics in low-dimensional and nanoscale materials at the atomistic level.

螺旋钻过程的基离散表面跳变。
我们开发了一种基离散的非绝热分子动力学方法,使涉及数百万状态的大规模模拟成为可能。该方法引入了一种状态密度(DOS)加权离散化方案,该方案将电子状态准连续映射到一个可管理的离散集上,同时保留了原始的DOS轮廓,并增强了带边缘附近的分辨率。使用时间相关Schrödinger方程和最小开关表面跳变的基准测试证实,在离散化之前和之后,动力学保持一致。该方法通过将难以处理的基集简化为可管理的离散模型,应用于硅量子点中俄格型过程的研究。模拟结果表明,与单激子动力学相比,双激子和三激子态显著拓宽了能量耗散途径,并通过库仑介导的俄歇过程加速了电子振动能量弛豫。这项工作为在原子水平上精确模拟低维和纳米尺度材料的激发态动力学提供了一个有效而稳健的框架。
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来源期刊
Journal of Chemical Theory and Computation
Journal of Chemical Theory and Computation 化学-物理:原子、分子和化学物理
CiteScore
9.90
自引率
16.40%
发文量
568
审稿时长
1 months
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Theory and Computation invites new and original contributions with the understanding that, if accepted, they will not be published elsewhere.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.
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