ChemOS: An orchestration software to democratize autonomous discovery.

ABSTRACT: The current Edisonian approach to discovery requires up to two decades of fundamental and applied research for materials technologies to reach the market. Such a slow and capital-intensive turnaround calls for disruptive strategies to expedite innovation. Self-driving laboratories have the potential to provide the means to revolutionize experimentation by empowering automation with artificial intelligence to enable autonomous discovery. However, the lack of adequate software solutions significantly impedes the development of self-driving laboratories. In this paper, we make progress towards addressing this challenge, and we propose and develop an implementation of ChemOS; a portable, modular and versatile software package which supplies the structured layers necessary for the deployment an

SUBMITTER: Roch LM 

PROVIDER: S-EPMC7161969 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature