arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2602.21784cond-mat.mtrl-sci
收藏

化学键分析在材料中的预测能力:关于光电子性质的视角

The Predictive Power of Chemical Bonding Analysis in Materials: a Perspective on Optoelectronic Properties

Nanochemistry Department, Istituto Italiano di Tecnologia(意大利理工大学纳米化学系)

Gabriele Saleh, Liberato Manna

AI总结:

本文探讨了化学键分析在光电子材料中的预测能力,重点讨论了金属卤化物钙钛矿和硫化物类材料的化学键特性及其对光电子性质的影响。

摘要:

化学键决定了原子如何相互作用以形成化合物,从而决定了它们的物理化学性质。尽管这是一个神秘的概念,但化学键已导致了模型和工具的发展,以解释和预测化学物种的行为。本文从化学键分析在光电子材料研究中的应用出发,强调其预测性的重要性。在回顾从最初的路易斯公式到现在的化学键模型演变后,本文讨论了最相关的材料类别和化学键现象,用于光捕获和发射。我们深入探讨了金属卤化物钙钛矿和结构相关的材料,因其在光电子研究中的核心作用。我们对这些材料中的化学键各个方面进行了调查,从结构-性质关系到通过分子轨道图来解释其电子性质。对于光电子材料,两个化学键特征尤为重要:通常存在于这些材料中的阳离子ns²孤对电子(例如Pb、Sb、Bi)以及价带和/或导带的反键性质。我们深入讨论了预测这两种现象对光电子性质影响的模型。我们还探讨了硫化物类材料,这类材料的光电子性质最近才开始显现。从化学键的角度来看,这些材料由于不同类型的化学键相互作用而表现出引人入胜的现象。最后,我们讨论了化学键分析在未来材料科学中的作用,包括与机器学习的协同作用和对立面。

英文摘要:

Chemical bonding governs how atoms interact to form compounds, thereby determining their physicochemical properties. Despite being an elusive concept, chemical bonding has led to the development of models and tools to explain and predict the behavior of chemical species. This perspective addresses the adoption of chemical bonding analysis to the study of optoelectronic materials, emphasizing the im-portance of its predictive aspect. After reviewing the evolution of chemical bonding models from the first Lewis formulation to the present day, the perspective discusses material classes and chemical bonding phenomena most relevant for light harvesting and emission. We delve into metal halide perovskites and structurally related materials, given their central role in optoelectronic research. Various aspects of chemical bonding in these materials are surveyed, from the structure-property relationship to the rationalization of their electronic properties through molecular orbital diagrams. Two chemical bonding features are particularly important for optoelectronic materials: the ns2 lone pairs of the cations typically found in these materials (e.g. Pb, Sb, Bi) and the antibonding nature of valence and/or conduction bands. We discuss in depth the models to predict the implications of these two phenomena on optoelectronic properties. We also explore chalcohal-ides, a class of materials whose optoelectronic properties are recently emerging. From the chemical bonding perspective, these materials display intriguing phenomena due to the interplay of various types of chemical bonds. Finally, we discuss our vision on the role of chemical bonding analysis in the future of materials science, including synergies and antitheses with machine learning.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑