Fast-Track to Research Data Management in Experimental Material Science–Setting the Ground for Research Group Level Materials Digitalization-Reference-Cited by-同舟云学术

Fast-Track to Research Data Management in Experimental Material Science–Setting the Ground for Research Group Level Materials Digitalization

Published:2020-06-19 Issue:8 Volume:22 Page:401-409
ISSN:2156-8952
Container-title:ACS Combinatorial Science
language:en
Short-container-title:ACS Comb. Sci.

Author:

Banko Lars¹,Ludwig Alfred¹²³^ORCID

Affiliation:

1. Chair for Materials Discovery and Interfaces, Institute for Materials, Faculty of Mechanical Engineering, Ruhr-Universität Bochum, Universitätstraße 150, 44801 Bochum, Germany

2. ZGH (Center for Interface-Dominated High Performance Materials), Ruhr-Universität Bochum, Universitätstraße 150, 44801 Bochum, Germany

3. Materials Research Department, Ruhr-Universität Bochum, Universitätstraße 150, 44801 Bochum, Germany

Funder

Deutsche Forschungsgemeinschaft

Publisher

American Chemical Society (ACS)

Subject

General Chemistry,General Medicine

Link

https://pubs.acs.org/doi/pdf/10.1021/acscombsci.0c00057

Reference28 articles.

1. Discovery of new materials using combinatorial synthesis and high-throughput characterization of thin-film materials libraries combined with computational methods

2. Data‐Driven Materials Science: Status, Challenges, and Perspectives

3. Fulfilling the promise of the materials genome initiative with high-throughput experimental methodologies

4. Materials science with large-scale data and informatics: Unlocking new opportunities

5. Tracking materials science data lineage to manage millions of materials experiments and analyses

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Management and application of research data in condensed matter science;Chinese Science Bulletin;2024-02-01

2. Accelerating materials research with a comprehensive data management tool: a case study on an electrochemical laboratory;Journal of Materials Chemistry A;2024

3. Experimental data management platform for data-driven investigation of combinatorial alloy thin films;APL Materials;2023-09-01

4. Accelerating the adoption of research data management strategies;Matter;2022-11

5. From materials discovery to system optimization by integrating combinatorial electrochemistry and data science;Current Opinion in Electrochemistry;2022-10