Machine learning force fields for molecular liquids: Ethylene Carbonate/Ethyl Methyl Carbonate binary solvent
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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Machine learning force fields for molecular liquids: Ethylene Carbonate/Ethyl Methyl Carbonate binary solvent ; volume:9 ; number:1 ; day:17 ; month:8 ; year:2023 ; pages:1-15 ; date:12.2023
npj computational materials ; 9, Heft 1 (17.8.2023), 1-15, 12.2023
- Creator
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Magdău, Ioan-Bogdan
Arismendi-Arrieta, Daniel J.
Smith, Holly E.
Grey, Clare P.
Hermansson, Kersti
Csányi, Gábor
- Contributor
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SpringerLink (Online service)
- DOI
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10.1038/s41524-023-01100-w
- URN
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urn:nbn:de:101:1-2024020908040891038114
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:36 AM CEST
Data provider
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Associated
- Magdău, Ioan-Bogdan
- Arismendi-Arrieta, Daniel J.
- Smith, Holly E.
- Grey, Clare P.
- Hermansson, Kersti
- Csányi, Gábor
- SpringerLink (Online service)
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Self‐Diffusion Coefficients in Solutions of Lithium Bis (fluorosulfonyl) imide with Dimethyl Carbonate and Ethylene Carbonate †
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Assessment of Simple Models for Molecular Simulation of Ethylene Carbonate and Propylene Carbonate as Solvents for Electrolyte Solutions
From cyclic carbonate bifunctional couplers to amphiphilic poly(ethylene imine)s
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Revisiting the Ethylene Carbonate–Propylene Carbonate Mystery with Operando Characterization
Protonated Ethylene Carbonate: A Highly Resonance‐Stabilized Cation
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Self‐Diffusion Coefficients in Solutions of Lithium Bis (fluorosulfonyl) imide with Dimethyl Carbonate and Ethylene Carbonate †
Carboxylation of phenol and its derivatives with sodium ethyl carbonate
Assessment of Simple Models for Molecular Simulation of Ethylene Carbonate and Propylene Carbonate as Solvents for Electrolyte Solutions
From cyclic carbonate bifunctional couplers to amphiphilic poly(ethylene imine)s
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Die Carbonate
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