A momentum-resolved view of polaron formation in materials

IF 9.4 1区 材料科学 Q1 CHEMISTRY, PHYSICAL
Tristan L. Britt, Fabio Caruso, Bradley J. Siwick
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引用次数: 0

Abstract

An ab-initio computational methodology for interrogating the phonon contribution to polaron formation in real materials is developed that can be directly compared to experiment. Using LiF as an example, we show that the recent ab-initio theory of Sio et al.1 makes predictions of the momentum- and branch dependent phonon amplitudes in polaron quasiparticles that are testable using ultrafast electron diffuse scattering (UEDS) and related techniques. The large electron polaron in LiF has UEDS signatures that are qualitatively similar to those expected from a simple isotropic strain field model, but the small hole polaron exhibits a profoundly anisotropic UEDS pattern that is in poor agreement with an isotropic strain field. We also show that these polaron diffuse scattering signatures are directly emblematic of the underlying polaron wavefunction. The combination of new time and momentum resolved experimental probes of nonequilibrium phonons with novel computational methods promises to complement the qualitative results obtained via model Hamiltonians with a first principles, material-specific quantitative understanding of polarons and their properties.

Abstract Image

材料中极子形成的动量分辨视图
我们开发了一种可直接与实验进行比较的非原位计算方法,用于分析声子对实际材料中极子形成的贡献。以 LiF 为例,我们展示了 Sio 等人1 最近提出的非原位理论对极子准粒子中与动量和分支相关的声子振幅的预测,这些预测可以使用超快电子漫散射(UEDS)和相关技术进行检验。锂辉石中的大电子极子具有与简单各向同性应变场模型预期的 UEDS 特征相似的定性特征,但小空穴极子则表现出与各向同性应变场极度不一致的各向异性 UEDS 模式。我们还表明,这些极子漫散射特征直接体现了底层极子波函数。将非平衡声子的新时间和动量分辨实验探测与新型计算方法相结合,有望通过对极子及其特性的第一原理、特定材料定量理解,补充通过模型哈密顿方程获得的定性结果。
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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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