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Data-Centric Architecture for Self-Driving Laboratories with Autonomous Discovery of New Nanomaterials
2021
Nanomaterials
Artificial intelligence (AI) approaches continue to spread in almost every research and technology branch. However, a simple adaptation of AI methods and algorithms successfully exploited in one area to another field may face unexpected problems. Accelerating the discovery of new functional materials in chemical self-driving laboratories has an essential dependence on previous experimenters' experience. Self-driving laboratories help automate and intellectualize processes involved in
doi:10.3390/nano12010012
pmid:35009962
pmcid:PMC8746699
fatcat:gwplcxrxlbgj5fgusfzwgeuoie