Adapting recurrent neural network algorithms for single molecular break junction analysis

Project Information

MEANN

Grant agreement ID: 884741

DOI

10.3030/884741

Project closed

EC signature date 12 March 2020

Start date 1 June 2020

End date 31 May 2022

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost

€ 207 312,00

EU contribution

€ 207 312,00

Coordinated by

KOBENHAVNS UNIVERSITET
Denmark

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Peer reviewed articles (2)

Trusting our machines: validating machine learning models for single-molecule transport experiments

Author(s): William Bro-Jørgensen, Joseph M. Hamill, Rasmus Bro, and Gemma C. Solomon
Published in: Chemical Society Reviews, 2022, ISSN 1460-4744
Publisher: Royal Society of Chemistry
DOI: 10.1039/d1cs00884f

Significant two-step potential-induced surface reconstruction observed on Au(1 1 1) inaqueous sulfuric acid

Author(s): Hamill, Joseph; Zhour, Kazem; Diddens, Diddo; Baghernejad, Masoud
Published in: Electrochemistry Communications, Issue 13882481, 2022, ISSN 1388-2481
Publisher: Elsevier BV
DOI: 10.1016/j.elecom.2022.107332