材料科学
结晶
相(物质)
化学计量学
钙钛矿(结构)
光致发光
插层(化学)
相图
卤化物
半导体
转化(遗传学)
晶体生长
化学工程
结晶学
分析化学(期刊)
化学物理
光电子学
物理化学
化学
无机化学
工程类
基因
生物化学
有机化学
色谱法
作者
Jin Hou,Wenbin Li,Hao Zhang,Siraj Sidhik,Jean‐Christophe Blancon,Jacky Even,Mercouri G. Kanatzidis,Aditya D. Mohite
标识
DOI:10.48550/arxiv.2212.00989
摘要
Two-dimensional (2D) halide perovskites have emerged as semiconductor platforms for realizing efficient and durable optoelectronic devices. However, the reproducible synthesis of 2D perovskite crystals with desired layer thickness (or n value) greater than 2, has been an enduring challenge due to the lack of kinetic control (temperature, time, stoichiometry) for each layer thickness. Here, we demonstrate a novel method term as the kinetically controlled space confinement (KCSC) for the deterministic growth of phase pure Ruddlesden-Popper (RP) and Dion-Jacobson (DJ) 2D perovskites. The phase-pure growth was achieved by progressively increasing the temperature (fixed time) or the crystallization time (fixed temperature), which allowed for an acute control of the crystallization kinetics. We also observe a systematic transformation from a lower n-value to n=3, 4, 5, 6 in 2D perovskites. In-situ photoluminescence spectroscopy and imaging suggest that the progressive transformation from lower to higher n-value occurs via intercalation of excess precursor ions. These experiments enabled the development of a machine learning assisted multi-parameter phase diagram, which predicts the growth of 2D phase with a specific n-value.
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