An NC State University research team has been awarded funding from the UNC System Research Opportunities Initiative (ROI) to accelerate molecular and biological innovations enabled by next-generation self-driving labs. Self-driving labs leverage artificial intelligence (AI), robotics and lab automation to fast-track the discovery and development of advanced materials and molecules needed to develop new medicines, semiconductors and sustainability solutions.
A new "self-driving" lab could let researchers study metal halide perovskite nanocrystals and a broad array of semiconductor and metallic nanomaterials.
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.
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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 of concept,” says Milad Abolhasani, corresponding author of a paper on the work and an assistant professor of chemical and biomolecular engineering at North Carolina State University. “Artificial Chemist 2.0 is industrially relevant for both R&D and manufacturing.”