Atomistic simulations of out-of-equilibrium quantum nuclear dynamics

IF 9.4 1区 材料科学 Q1 CHEMISTRY, PHYSICAL
Francesco Libbi, Anders Johansson, Lorenzo Monacelli, Boris Kozinsky
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Abstract

The rapid advancements in ultrafast laser technology have paved the way for pumping and probing the out-of-equilibrium dynamics of nuclei in crystals. However, interpreting these experiments is extremely challenging due to the complex nonlinear responses in systems where lattice excitations interact, particularly in crystals composed of light atoms or at low temperatures where the quantum nature of ions becomes significant. In this work, we address the nonequilibrium quantum ionic dynamics from first principles. Our approach is general and can be applied to simulate any crystal, in combination with a first-principles treatment of electrons or external machine-learning potentials. It is implemented by leveraging the nonequilibrium time-dependent self-consistent harmonic approximation (TD-SCHA), with a stable, energy-conserving, correlated stochastic integration scheme that achieves an accuracy of \({\mathcal{O}}(d{t}^{3})\). We benchmark the method with both a simple one-dimensional model to test its accuracy and a realistic 40-atom cell of SrTiO3 under THz laser pump, paving the way for simulations of ultrafast THz-Xray pump-probe spectroscopy like those performed in synchrotron facilities.

Abstract Image

非平衡量子核动力学的原子模拟
超快激光技术的迅速发展为泵送和探测晶体中原子核的非平衡动力学铺平了道路。然而,解释这些实验是极具挑战性的,因为在晶格激发相互作用的系统中,特别是在由轻原子组成的晶体或在离子的量子性质变得重要的低温下,复杂的非线性响应。在这项工作中,我们解决了非平衡量子离子动力学从第一性原理。我们的方法是通用的,可以应用于模拟任何晶体,结合电子或外部机器学习势的第一性原理处理。它是通过利用非平衡时相关自洽谐波近似(TD-SCHA)实现的,具有稳定,节能,相关的随机积分方案,其精度达到\({\mathcal{O}}(d{t}^{3})\)。我们用简单的一维模型测试了该方法的准确性,并在太赫兹激光泵浦下的40原子SrTiO3电池上对其进行了基准测试,为模拟超快太赫兹x射线泵浦探测光谱(如在同步加速器设施中进行的模拟)铺平了道路。
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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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