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Density functional ...
Density functional theory and machine learning for electrochemical square-scheme prediction: an application to quinone-type molecules relevant to redox flow batteries
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- Hashemi, Arsalan (författare)
- Department of Chemistry and Material Science, School of Chemical Engineering, Aalto University, 02150 Espoo, Finland
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- Khakpour, Reza (författare)
- Department of Chemistry and Material Science, School of Chemical Engineering, Aalto University, 02150 Espoo, Finland
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- Mahdian, Amir (författare)
- Department of Chemistry and Material Science, School of Chemical Engineering, Aalto University, 02150 Espoo, Finland
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- Busch, Michael (författare)
- Institute of Theoretical Chemistry, Ulm University, Albert-Einstein Allee 11, 89069 Ulm, Germany
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- Peljo, Pekka (författare)
- Research Group of Battery Materials and Technologies, Department of Mechanical and Materials Engineering, Faculty of Technology, University of Turku, 20014 Turun Yliopisto, Finland
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- Laasonen, Kari (författare)
- Department of Chemistry and Material Science, School of Chemical Engineering, Aalto University, 02150 Espoo, Finland
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(creator_code:org_t)
- 2023
- 2023
- Engelska.
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Ingår i: Digital Discovery. - 2635-098X. ; 2:5, s. 1565-1576
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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- NATURVETENSKAP -- Kemi (hsv//swe)
- NATURAL SCIENCES -- Chemical Sciences (hsv//eng)
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