AIR-Chem: Authentic Intelligent Robotics for Chemistry
AIR-Chem: Authentic Intelligent Robotics for Chemistry
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DOI：
10.1021/acs.jpca.8b10680
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发表时间：
2018-11-22
影响因子：
2.9
通讯作者：
Zhu, Xi
中科院分区：
文献类型：
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作者：
Li, Jiagen;Lu, Yihua;Zhu, Xi
具有繁荣的人工智能（AI）和机器人技术的新时代正在以更激进的方式重塑材料发现过程。在这里，我们介绍了化学的真实智能机器人技术（AIR-CHEM），与AI和机器人技术领域的技术创新集成在一起，并在包括基于梯度下降的优化框架，多个外部现场调制，实时计算机视觉（CV）的模块中功能化功能化。系统和自动导向车辆（AGV）零件。气化是可移植的，可以通过云计算来远程控制。空气化学可以学习给定目标的参数程序，并以独立模式进行实验室操作，具有高可重复性，精度和知识再生的可用性。此外，从理论上提出了一个重点是无机钙钛矿量子点（IPQD）的大小的成核理论，并通过空气化学对实验证明。这项工作旨在将无人化学实验室的过程从化学材料的合成到分析物理化学性质的分析，并为未来的化学反应提供了生动的演示，该化学反应由AI和机器人技术改造。
The new era with prosperous artificial intelligence (AI) and robotics technology is reshaping the materials discovery process in a more radical fashion. Here we present authentic intelligent robotics for chemistry (AIR-Chem), integrated with technological innovations in the AI and robotics fields, functionalized with modules including gradient descent-based optimization frameworks, multiple external field modulations, a real-time computer vision (CV) system, and automated guided vehicle (AGV) parts. AIR-Chem is portable and remotely controllable by cloud computing. AIR-Chem can learn the parametric procedures for given targets and carry on laboratory operations in standalone mode, with high reproducibility, precision, and availability for knowledge regeneration. Moreover, an improved nucleation theory of size focusing on inorganic perovskite quantum dots (IPQDs) is theoretically proposed and experimentally testified to by AIR-Chem. This work aims to boost the process of an unmanned chemistry laboratory from the synthesis of chemical materials to the analysis of physical chemical properties, and it provides a vivid demonstration for future chemistry reshaped by AI and robotics technology.