Accelerating materials research with a comprehensive data management tool: a case study on an electrochemical laboratory-Reference-Cited by-同舟云学术

Accelerating materials research with a comprehensive data management tool: a case study on an electrochemical laboratory

Published:2024 Issue: Volume: Page:
ISSN:2050-7488
Container-title:Journal of Materials Chemistry A
language:en
Short-container-title:J. Mater. Chem. A

Author:

Röttcher Nico C.¹²^ORCID,Akkoc Gun D.¹²^ORCID,Finger Selina¹²^ORCID,Fritsch Birk¹^ORCID,Möller Jonas¹^ORCID,Mayrhofer Karl J. J.¹²^ORCID,Dworschak Dominik¹^ORCID

Affiliation:

1. Forschungszentrum Jülich GmbH, Helmholtz Institute for Renewable Energy Erlangen-Nürnberg, Cauerstr. 1, 91058 Erlangen, Germany

2. Department of Chemical and Biological Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, Cauerstr. 1, 91058 Erlangen, Germany

Abstract

Introduction of an SQL and Python-based tool for managing research data from acquisition to publication. The method enables FAIR-compatible data management, minimizes user interaction, and provides customizability for diverse research domains.

Funder

Bundesministerium für Bildung und Forschung

Publisher

Royal Society of Chemistry (RSC)

Subject

General Materials Science,Renewable Energy, Sustainability and the Environment,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2024/TA/D3TA06247C

Reference80 articles.

1. Physics‐Based Human‐in‐the‐Loop Machine Learning Combined with Genetic Algorithm Search for Multicriteria Optimization: Electrochemical CO₂ Reduction Reaction

2. Automated high-throughput activity and stability screening of electrocatalysts

3. High-Throughput Bubble Screening Method for Combinatorial Discovery of Electrocatalysts for Water Splitting

4. Universal self-driving laboratory for accelerated discovery of materials and molecules

5. Beyond Ternary OPV: High‐Throughput Experimentation and Self‐Driving Laboratories Optimize Multicomponent Systems