Flipping the script: Predicting chemical composition in metal-halide perovskites from optical spectroscopy

IF 19.6 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Chem Pub Date : 2025-04-10 Epub Date: 2025-03-27 DOI:10.1016/j.chempr.2025.102535
Alexander J. Norquist
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Abstract

In this issue of Chem, Harel and co-workers report a chemical-space-property descriptor model capable of predicting chemical compositions of metal halide perovskites by using fast optical analyses. This model is designed to enable facile monitoring of chemical composition and assessment of material properties in industrial-scale syntheses.
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翻转剧本:从光谱学预测金属卤化物钙钛矿的化学成分
在这一期的《化学》杂志上,Harel及其同事报告了一种化学空间属性描述符模型,该模型能够通过快速光学分析预测金属卤化物钙钛矿的化学成分。该模型旨在方便地监测工业规模合成中的化学成分和评估材料性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Chem
Chem Environmental Science-Environmental Chemistry
CiteScore
32.40
自引率
1.30%
发文量
281
期刊介绍: Chem, affiliated with Cell as its sister journal, serves as a platform for groundbreaking research and illustrates how fundamental inquiries in chemistry and its related fields can contribute to addressing future global challenges. It was established in 2016, and is currently edited by Robert Eagling.
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