Rapid Synthesis of "Best-in-Class" Materials for Specific Applications
Researchers have created an autonomous system that can determine how to synthesize “best-in-class” materials for specific uses in hours or days.
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Researchers have created an autonomous system that can determine how to synthesize “best-in-class” materials for specific uses in hours or days.
It can take years of focused laboratory work to determine how to make the highest quality materials for use in electronic and photonic devices. Researchers have now developed an autonomous system that can identify how to synthesize “best-in-class” materials for specific applications in hours or days.
Researchers from North Carolina State University and the University at Buffalo have developed and demonstrated a 'self-driving lab' that uses artificial intelligence (AI) and fluidic systems to advance our understanding of metal halide perovskite (MHP) nanocrystals.
by Matt Shipman — December 15, 2020 . RALEIGH – A new technology, called Artificial Chemist 2.0, allows users to go from requesting a custom quantum dot to completing the relevant R&D and beginning manufacturing in less than an hour. The tech is completely autonomous, and uses artificial intelligence (AI) and automated robotic systems to perform multi-step chemical synthesis and analysis. Quantum dots are colloidal semiconductor nanocrystals, which are used in applications such as LED displays and solar cells. “When we rolled out the first version of Artificial Chemist, it was a proof ...