通过机器人微实验加速混合钙钛矿研究

A. Amassian
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引用次数: 0

摘要

新兴卤化物钙钛矿材料的巨大化学和加工领域可以压倒传统的研究实践。设计问题的规模和许多现象的涌现性,包括高度不平衡的薄膜加工,复杂的溶液到固相转变,对于传统的试错研究来说可能是压倒性的。解决如此复杂的问题将受益于机器人在环战略,它可以加速许多手动任务,降低成本和废物产生,并支持人工智能的实施。我们展示了RoboMapper,我们最近的努力是利用机器人自动化来加速参数空间探索和建立公式-结构-属性关系,以提高研究效率。我们将演示卤化物钙钛矿的配方、印刷和表征,以加快研究工作流程。
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Accelerating hybrid perovskite research through robotic micro-experimentation
The vast chemical and processing universe of emerging halide perovskite materials can be overwhelming to traditional research practices. The sheer scale of the design problem and the emergent nature of many phenomena, including highly nonequilibrium thin film processing, complex solution-to-solid phase transformation can be overwhelming for traditional trial-and-error investigations. Solving such a complex problem would benefit from a robot-in-the-loop strategy that can accelerate many of the manual tasks as well as reduce cost and waste generation and support implementation of artificial intelligence. We present the RoboMapper, our recent effort to leverage robotic automation towards accelerating parameter space exploration and establishment of formulation-structure-property relationships with orders of magnitude enhancement in research efficiency. We will demonstrate formulation, printing and characterization of halide perovskites towards the aim of accelerating research workflows.
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Front Matter: Volume 11808 Light Manipulation of Photonic-Structured OLEDs Perovskite LEDs Directional polarized light emission from thin-film light emitting diodes Blue perovskite light emitting diodes
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