Perovskite Quantum Dots: Artificial Chemist: An Autonomous Quantum Dot Synthesis Bot (Adv. Mater. 30/2020)
Source abstract
Abstract
In article number 2001626, Milad Abolhasani and co-workers present an “Artificial Chemist”: a machine-learning-guided, self-driving robot for on-demand quantum dot synthesis. Flow chemistry is integrated with artificial-intelligence-driven experiment-selection algorithms to autonomously conduct over 1400 unassisted experiments for accelerated synthetic-path discovery of perovskite quantum dots for any peak emission energy.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Modular Robots and Swarm Intelligence · Air Quality Monitoring and Forecasting · Water Quality Monitoring and Analysis
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Chemical and Biomolecular Engineering North Carolina State University Raleigh NC 27606 USA
Department of Materials Design and Innovation University at Buffalo Buffalo NY 14260 USA
Department of Material Science and Engineering Organic and Carbon Electronics Laboratories (ORaCEL) North Carolina State University Raleigh NC 27606 USA
References
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