Journal
JOURNAL OF PHYSICAL CHEMISTRY A
Volume 122, Issue 46, Pages 9142-9148Publisher
AMER CHEMICAL SOC
DOI: 10.1021/acs.jpca.8b10680
Keywords
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Funding
- Robotic Discipline Development Fund from the Shenzhen Government [2016-1418]
- Shenzhen Fundamental Research Foundation [JCYJ20170818103918295]
- National Natural Science Foundation of China [21805234]
- CUHK-Shenzhen [PF00728]
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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.
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