Golem: an algorithm for robust experiment and process optimization-Reference-Cited by-同舟云学术

Golem: an algorithm for robust experiment and process optimization

Published:2021 Issue:44 Volume:12 Page:14792-14807
ISSN:2041-6520
Container-title:Chemical Science
language:en
Short-container-title:Chem. Sci.

Author:

Aldeghi Matteo¹²³^ORCID,Häse Florian¹²³⁴^ORCID,Hickman Riley J.²³^ORCID,Tamblyn Isaac¹⁵^ORCID,Aspuru-Guzik Alán¹²³⁶^ORCID

Affiliation:

1. Vector Institute for Artificial Intelligence, Toronto, ON, Canada

2. Chemical Physics Theory Group, Department of Chemistry, University of Toronto, Toronto, ON, Canada

3. Department of Computer Science, University of Toronto, Toronto, ON, Canada

4. Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA

5. National Research Council of Canada, Ottawa, ON, Canada

6. Lebovic Fellow, Canadian Institute for Advanced Research, Toronto, ON, Canada

Abstract

Numerous challenges in science and engineering can be framed as optimization tasks. Golem is an uncertain-input algorithm that ensures the reproducible performance of optimized experimental protocols and processes.

Funder

National Research Council Canada

Canadian Institute for Advanced Research

Vector Institute

Natural Sciences and Engineering Research Council of Canada

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2021/SC/D1SC01545A

Reference65 articles.

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