Searching the chemical space for effective magnesium dissolution modulators: a deep learning approach using sparse features
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
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In: npj Materials Degradation 7 (1): 74 (2023-12-01)
- Event
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Veröffentlichung
- (where)
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Hamburg
- (who)
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Technische Universität Hamburg. Universitätsbibliothek
- (when)
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2023
- Creator
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Schiessler, Elisabeth
Würger, Tim
Vaghefinazari, Bahram
Lamaka, Sviatlana
Meißner, Robert
Cyron, Christian J.
Zheludkevich, Mikhail L.
Feiler, Christian
Aydin, Roland C.
- DOI
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10.15480/882.8763
- URN
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urn:nbn:de:101:1-2023122010324760203287
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:32 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Schiessler, Elisabeth
- Würger, Tim
- Vaghefinazari, Bahram
- Lamaka, Sviatlana
- Meißner, Robert
- Cyron, Christian J.
- Zheludkevich, Mikhail L.
- Feiler, Christian
- Aydin, Roland C.
- Technische Universität Hamburg. Universitätsbibliothek
Time of origin
- 2023
Other Objects (12)
Searching the chemical space for effective magnesium dissolution modulators: a deep learning approach using sparse features
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Exploring structure-property relationships in magnesium dissolution modulators
In silico screening of modulators of magnesium dissolution
Exploring structure-property relationships in magnesium dissolution modulators
Quartz dissolution associated with magnesium silicate hydrate cement precipitation
Quartz dissolution associated with magnesium silicate hydrate cement precipitation
Dissolution
Modeling and simulation of magnesium transport, dissolution / deposition and de- / intercalation in organic solvents
Influence of Complexing Additives on the Reversible Deposition/Dissolution of Magnesium in an Ionic Liquid
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Searching Eva
Searching the chemical space for effective magnesium dissolution modulators: a deep learning approach using sparse features
Predicting the inhibition efficiencies of magnesium dissolution modulators using sparse machine learning models
Exploring structure-property relationships in magnesium dissolution modulators
In silico screening of modulators of magnesium dissolution
Exploring structure-property relationships in magnesium dissolution modulators
Quartz dissolution associated with magnesium silicate hydrate cement precipitation
Quartz dissolution associated with magnesium silicate hydrate cement precipitation
Dissolution
Modeling and simulation of magnesium transport, dissolution / deposition and de- / intercalation in organic solvents
Influence of Complexing Additives on the Reversible Deposition/Dissolution of Magnesium in an Ionic Liquid
Approaching dissolution
Searching Eva
Searching the chemical space for effective magnesium dissolution modulators: a deep learning approach using sparse features
Predicting the inhibition efficiencies of magnesium dissolution modulators using sparse machine learning models
Exploring structure-property relationships in magnesium dissolution modulators
In silico screening of modulators of magnesium dissolution
Exploring structure-property relationships in magnesium dissolution modulators
Quartz dissolution associated with magnesium silicate hydrate cement precipitation
Quartz dissolution associated with magnesium silicate hydrate cement precipitation
Dissolution
Modeling and simulation of magnesium transport, dissolution / deposition and de- / intercalation in organic solvents
Influence of Complexing Additives on the Reversible Deposition/Dissolution of Magnesium in an Ionic Liquid
Approaching dissolution