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Autochemistry - A Research Paradigm Based on Artificial Intelligence and Big Data.pdf (312.17 kB)

Autochemistry: A Research Paradigm Based on Artificial Intelligence and Big Data

preprint
revised on 25.02.2019, 21:35 and posted on 26.02.2019, 16:45 by Thorsten Gressling
Artificial Intelligence technologies affect every domain and process in industry. Many solutions with different maturity levels have been created or are in development. With this paper we collect initiatives in the domain of chemical science and bring these resources together into a common process model.
We define ten building blocks, analyse their role in the architecture and evaluate their impact to the current system. Finally we discuss the changes and the transition that occurs to the lab worker and the chemist.
This paper introduces Autochemistry as a meme and for further development and discussion. We just can provide a first sketch to this exciting new area of scientific principles changing the anthropocentric fundament of chemistry research to a technocentric one.

Funding

ARS Computer und Consulting GmbH

History

Email Address of Submitting Author

thorsten.gressling@ars.de

Institution

ARS Computer und Consulting GmbH

Country

Germany

ORCID For Submitting Author

0000-0003-3734-538X

Declaration of Conflict of Interest

The author declares no competing financial interest.

Version Notes

Version 4, last before publish

Exports