2021
DOI: 10.1002/ppsc.202100169
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High‐Throughput Robotic Synthesis and Photoluminescence Characterization of Aqueous Multinary Copper–Silver Indium Chalcogenide Quantum Dots

Abstract: variability of compositions and properties unrivaled by more conventional chalcogenide semiconductor II-VI or IV-VI NCs. [1][2][3][4][5] Multinary compounds such as copper-indium or copper-zinc-tin chalcogenides can be produced with a broad variation in stoichiometry as well as in different phases for the same stoichiometry. They can be subjected to multiple substitutions, such as sulfide for selenide, copper for silver, zinc for many other bications, indium for gallium or antimony, as well as to doping with m… Show more

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Cited by 18 publications
(27 citation statements)
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References 39 publications
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“…We estimate that 576 experiments would take an FTE 1700 h in the lab (extrapolated from an average time of 3 h/experiment). A recently reported HTE process utilizing a robot-based arrayed synthesis technique would take over 9 h to synthesize 576 samples prior to characterization …”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…We estimate that 576 experiments would take an FTE 1700 h in the lab (extrapolated from an average time of 3 h/experiment). A recently reported HTE process utilizing a robot-based arrayed synthesis technique would take over 9 h to synthesize 576 samples prior to characterization …”
Section: Resultsmentioning
confidence: 99%
“…A recently reported HTE process utilizing a robot-based arrayed synthesis technique would take over 9 h to synthesize 576 samples prior to characterization. 40 Acceleration and Optimization of New MHP Composition. After validating our HTE workflow by optimizing (4- MeO-PEAI) 2 -PbI 2 , we chose additional MHP precursors to study.…”
Section: ■ Results and Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…[93][94][95] In fact, MLassisted robots can help to accelerate high-throughput experimentation without human interactions. [96][97][98][99] As a result, a MLguided robot was used to carry out 688 experiments within an experimental space of ten variables, 1000 times faster than manual approaches. The ML-assisted high-throughput experimentation revealed a new photocatalyst mixture with six times more activity.…”
Section: Integration Of ML With Experimentsmentioning
confidence: 99%
“…Thus, optimized parameter conditions, e.g., catalyst composition, mixing sequence, reaction treatments, and so on can be obtained with minimal human intervention. 104,105,107 For instance, sputtering is a versatile process for catalyst synthesis in both laboratory and industrial scale, enabling deposition of a thin film of catalyst with controllable thickness. High-throughput depositions allow creating a library of catalyst materials with a controllable composition gradient and a large range of film thickness.…”
Section: Towards Self-driven Experimental Laboratoriesmentioning
confidence: 99%