There is a growing drive in the chemistry community to exploit rapidly growing robotic technologies along with artificial intelligence-based approaches. Applying this to chemistry requires a holistic approach to chemical synthesis design and execution. Here, we outline a universal approach to this problem beginning with an abstract representation of the practice of chemical synthesis that then informs the programming and automation required for its practical realization. Using this foundation to construct closed-loop robotic chemical search engines, we can generate new discoveries that may be verified, optimized, and repeated entirely automatically. These robots can perform chemical reactions and analyses much faster than can be done manually. As such, this leads to a road map whereby molecules can be discovered, optimized, and made on demand from a digital code.
机构:
Univ Lisbon, Res Inst Med iMed ULisboa, Fac Farm, Av Prof Gama Pinto, P-1649003 Lisbon, PortugalUniv Bristol, Sch Chem, Bristol BS8 1TS, Avon, England
Lopes, Joao
;
Marini, Federico
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机构:
Univ Roma La Sapienza, Dept Chem, Piazzale Aldo Moro 5, I-00185 Rome, ItalyUniv Bristol, Sch Chem, Bristol BS8 1TS, Avon, England
机构:
Univ Lisbon, Res Inst Med iMed ULisboa, Fac Farm, Av Prof Gama Pinto, P-1649003 Lisbon, PortugalUniv Bristol, Sch Chem, Bristol BS8 1TS, Avon, England
Lopes, Joao
;
Marini, Federico
论文数: 0引用数: 0
h-index: 0
机构:
Univ Roma La Sapienza, Dept Chem, Piazzale Aldo Moro 5, I-00185 Rome, ItalyUniv Bristol, Sch Chem, Bristol BS8 1TS, Avon, England