Literature DB >> 33141686

ChemOS: Orchestrating autonomous experimentation.

Loïc M Roch1, Florian Häse1, Christoph Kreisbeck1, Teresa Tamayo-Mendoza1, Lars P E Yunker2, Jason E Hein2, Alán Aspuru-Guzik3,4.   

Abstract

ChemOS aims to catalyze the expansion of autonomous laboratories and to disrupt the conventional approach to experimentation.
Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.

Year:  2018        PMID： 33141686     DOI： 10.1126/scirobotics.aat5559

Source DB:  PubMed          Journal:  Sci Robot        ISSN： 2470-9476


  7 in total

Review 1.  QSAR without borders.

Authors:  Eugene N Muratov; Jürgen Bajorath; Robert P Sheridan; Igor V Tetko; Dmitry Filimonov; Vladimir Poroikov; Tudor I Oprea; Igor I Baskin; Alexandre Varnek; Adrian Roitberg; Olexandr Isayev; Stefano Curtarolo; Denis Fourches; Yoram Cohen; Alan Aspuru-Guzik; David A Winkler; Dimitris Agrafiotis; Artem Cherkasov; Alexander Tropsha
Journal:  Chem Soc Rev       Date:  2020-05-01       Impact factor: 54.564

2.  Autonomous Chemical Experiments: Challenges and Perspectives on Establishing a Self-Driving Lab.

Authors:  Martin Seifrid; Robert Pollice; Andrés Aguilar-Granda; Zamyla Morgan Chan; Kazuhiro Hotta; Cher Tian Ser; Jenya Vestfrid; Tony C Wu; Alán Aspuru-Guzik
Journal:  Acc Chem Res       Date:  2022-08-10       Impact factor: 24.466

3.  Data-Driven Strategies for Accelerated Materials Design.

Authors:  Robert Pollice; Gabriel Dos Passos Gomes; Matteo Aldeghi; Riley J Hickman; Mario Krenn; Cyrille Lavigne; Michael Lindner-D'Addario; AkshatKumar Nigam; Cher Tian Ser; Zhenpeng Yao; Alán Aspuru-Guzik
Journal:  Acc Chem Res       Date:  2021-02-02       Impact factor: 22.384

4.  Machine learning as a tool to engineer microstructures: Morphological prediction of tannin-based colloids using Bayesian surrogate models.

Authors:  Soo-Ah Jin; Tero Kämäräinen; Patrick Rinke; Orlando J Rojas; Milica Todorović
Journal:  MRS Bull       Date:  2022-02-28       Impact factor: 4.882

Review 5.  From Platform to Knowledge Graph: Evolution of Laboratory Automation.

Authors:  Jiaru Bai; Liwei Cao; Sebastian Mosbach; Jethro Akroyd; Alexei A Lapkin; Markus Kraft
Journal:  JACS Au       Date:  2022-01-10

6.  Autonomous optimization of non-aqueous Li-ion battery electrolytes via robotic experimentation and machine learning coupling.

Authors:  Adarsh Dave; Jared Mitchell; Sven Burke; Hongyi Lin; Jay Whitacre; Venkatasubramanian Viswanathan
Journal:  Nat Commun       Date:  2022-09-27       Impact factor: 17.694

7.  The Role of Machine Learning in the Understanding and Design of Materials.

Authors:  Seyed Mohamad Moosavi; Kevin Maik Jablonka; Berend Smit
Journal:  J Am Chem Soc       Date:  2020-11-10       Impact factor: 15.419
  7 in total

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