From Platform to Knowledge Graph: Evolution of Laboratory Automation.

ABSTRACT: High-fidelity computer-aided experimentation is becoming more accessible with the development of computing power and artificial intelligence tools. The advancement of experimental hardware also empowers researchers to reach a level of accuracy that was not possible in the past. Marching toward the next generation of self-driving laboratories, the orchestration of both resources lies at the focal point of autonomous discovery in chemical science. To achieve such a goal, algorithmically accessible data representations and standardized communication protocols are indispensable. In this perspective, we recategorize the recently introduced approach based on Materials Acceleration Platforms into five functional components and discuss recent case studies that focus on the data representation and

SUBMITTER: Bai J 

PROVIDER: S-EPMC8889618 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature