利用自适应和多速率时间积分技术推进电子和声子耦合非平衡动力学模拟

IF 11.9 1区 材料科学 Q1 CHEMISTRY, PHYSICAL
Jia Yao, Ivan Maliyov, David J. Gardner, Carol S. Woodward, Marco Bernardi
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引用次数: 0

摘要

在时域的电子结构计算提供了对材料非平衡动力学更深入的理解。实时玻尔兹曼方程(rt-BTE)与从第一性原理计算的精确相互作用相结合,使耦合电子和晶格动力学的可靠预测成为可能。然而,这种方法的时间尺度和系统规模仍然有限,两个主要挑战是电子和声子相互作用的不同时间尺度以及计算碰撞积分的成本。因此,这些计算只存在几个例子,主要是针对二维(2D)材料。在这里,我们利用自适应和多速率时间积分方法,在解决电子和声子的耦合rt- bte方面取得了重大进展。相对于传统的(非自适应)时间步进,我们的方法在目标精度上实现了10倍的加速,或者在相同的计算成本下实现了3-6个数量级的更高精度,从而实现了二维和块状材料的高效计算。这种效率通过计算高达~100 ps的石墨烯中的耦合电子和晶格动力学,以及模拟块状材料(硅和砷化镓)中的超快晶格动力学和热扩散散射图来展示。除了提高效率外,我们的自适应方法还可以解决不同物理过程的特征率,从而自然地桥接不同的时间尺度。这使得模拟更长的时间尺度,并提供了一个框架,模拟多尺度动力学的耦合自由度的物质。我们的工作为材料非平衡物理的定量研究开辟了新的机会,包括声子与电子、自旋和其他自由度耦合的驱动晶格动力学。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Advancing simulations of coupled electron and phonon nonequilibrium dynamics using adaptive and multirate time integration

Advancing simulations of coupled electron and phonon nonequilibrium dynamics using adaptive and multirate time integration

Electronic structure calculations in the time domain provide a deeper understanding of nonequilibrium dynamics in materials. The real-time Boltzmann equation (rt-BTE), used in conjunction with accurate interactions computed from first principles, has enabled reliable predictions of coupled electron and lattice dynamics. However, the timescales and system sizes accessible with this approach are still limited, with two main challenges being the different timescales of electron and phonon interactions and the cost of computing collision integrals. As a result, only a few examples of these calculations exist, mainly for two-dimensional (2D) materials. Here we leverage adaptive and multirate time integration methods to achieve a major step forward in solving the coupled rt-BTEs for electrons and phonons. Relative to conventional (non-adaptive) time-stepping, our approach achieves a 10x speedup for a target accuracy, or greater accuracy by 3–6 orders of magnitude for the same computational cost, enabling efficient calculations in both 2D and bulk materials. This efficiency is showcased by computing the coupled electron and lattice dynamics in graphene up to ~100 ps, as well as modeling ultrafast lattice dynamics and thermal diffuse scattering maps in bulk materials (silicon and gallium arsenide). In addition to improved efficiency, our adaptive method can resolve the characteristic rates of different physical processes, thus naturally bridging different timescales. This enables simulations of longer timescales and provides a framework for modeling multiscale dynamics of coupled degrees of freedom in matter. Our work opens new opportunities for quantitative studies of nonequilibrium physics in materials, including driven lattice dynamics with phonons coupled to electrons, spin, and other degrees of freedom.

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来源期刊
npj Computational Materials
npj Computational Materials Mathematics-Modeling and Simulation
CiteScore
15.30
自引率
5.20%
发文量
229
审稿时长
6 weeks
期刊介绍: npj Computational Materials is a high-quality open access journal from Nature Research that publishes research papers applying computational approaches for the design of new materials and enhancing our understanding of existing ones. The journal also welcomes papers on new computational techniques and the refinement of current approaches that support these aims, as well as experimental papers that complement computational findings. Some key features of npj Computational Materials include a 2-year impact factor of 12.241 (2021), article downloads of 1,138,590 (2021), and a fast turnaround time of 11 days from submission to the first editorial decision. The journal is indexed in various databases and services, including Chemical Abstracts Service (ACS), Astrophysics Data System (ADS), Current Contents/Physical, Chemical and Earth Sciences, Journal Citation Reports/Science Edition, SCOPUS, EI Compendex, INSPEC, Google Scholar, SCImago, DOAJ, CNKI, and Science Citation Index Expanded (SCIE), among others.
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