EDITORIAL: Chemical Compound Space Exploration by Multiscale High-Throughput Screening and Machine Learning

Gryn’ova G, Bereau T, Müller C, Friederich P, Wade RC, Nunes-Alves A, Soares TA, Merz K (2024)

Publication Type: Journal article

Publication year: 2024

Journal

Journal of Chemical Information and Modeling American Chemical Society

Book Volume: 64

Pages Range: 5737-5738

Journal Issue: 15

DOI: 10.1021/acs.jcim.4c01300

Authors with CRIS profile

Carolin Müller Juniorprofessur für die Theorie elektronisch angeregter Zustände

Involved external institutions

University of Birmingham

United Kingdom (GB) Ruprecht-Karls-Universität Heidelberg

Germany (DE) Karlsruhe Institute of Technology (KIT)

Germany (DE) Heidelberg Institute for Theoretical Studies GmbH (HITS)

Germany (DE) Technische Universität Berlin

Germany (DE) University of São Paulo / Universidade de São Paulo (USP)

Brazil (BR) Michigan State University

United States (USA) (US)

How to cite

APA:

Gryn’ova, G., Bereau, T., Müller, C., Friederich, P., Wade, R.C., Nunes-Alves, A.,... Merz, K. (2024). EDITORIAL: Chemical Compound Space Exploration by Multiscale High-Throughput Screening and Machine Learning. Journal of Chemical Information and Modeling, 64(15), 5737-5738. https://doi.org/10.1021/acs.jcim.4c01300

MLA:

Gryn’ova, Ganna, et al. "EDITORIAL: Chemical Compound Space Exploration by Multiscale High-Throughput Screening and Machine Learning." Journal of Chemical Information and Modeling 64.15 (2024): 5737-5738.

BibTeX: Download