Cited by 115Computational Drug Discovery MethodsAI-based Problem Solving and PlanningMachine Learning in Materials Science

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Chematica: A Story of Computer Code That Started to Think like a Chemist

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Grzybowski, Bartosz A., Szymkuć, Sara, Gajewska, Ewa P., Molga, Karol, Dittwald, Piotr, Wołos, Agnieszka, Klucznik, Tomasz·2018·Chem

DOI 10.1016/j.chempr.2018.02.024

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Authors: Grzybowski, B. A., Szymkuć, S., Gajewska, E. P., Molga, K., Dittwald, P., Wołos, A., & Klucznik, T.
ORCID: Grzybowski, Bartosz A.
Szymkuć, Sara
Molga, Karol
Wołos, Agnieszka
Klucznik, Tomasz
Venue: Chem
Publisher: Elsevier BV
Published: 2018-03
Volume: 4
Issue: 3
Pages: 390-398
ISSN: 2451-9294 (ISSN-L)
DOI: 10.1016/j.chempr.2018.02.024
OpenAlex: W2789913372
Cited by: 114
References: 0
Citations by year: 2026: 11 · 2025: 12 · 2024: 19 · 2023: 32 · 2022: 7 · 2021: 15 · 2020: 11 · 2019: 7
FWCI: 6.17
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
www.elsevier.com/open-access/userlicense/1.0/ (vor, 372 d)
Locations: Chem (publishedVersion)
Scholarworks@UNIST (Ulsan National Institute of Science and Technology) (submittedVersion)
Funders: Defense Advanced Research Projects Agency
Topics: Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Drug Discovery › Computational Drug Discovery Methods
Physical Sciences › Computer Science › Artificial Intelligence › AI-based Problem Solving and Planning
Physical Sciences › Materials Science › Materials Chemistry › Machine Learning in Materials Science
Keywords: cheminformatics software, artificial intelligence in chemistry, retrosynthesis

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