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Predicting the inhibition efficiencies of magnesium dissolution modulators using sparse machine learning models

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Bibliographic Details
Published in: npj computational materials year:2021; elocationid:193; volume:7; pages:1-9; 7(2021), 1, Artikel-ID 193, Seite 1-9; number:1
Authors and Corporations: Schiessler, Elisabeth J. (Author), Würger, Tim (Author), Lamaka, Sviatlana V. (Author), Meißner, Robert (Author), Cyron, Christian J. (Author), Zheludkevich, Mikhail L. (Author), Feiler, Christian (Author), Aydin, Roland C. (Author), Technische Universität Hamburg (Other), Technische Universität Hamburg Institute of Continuum Mechanics and Materials Mechanics (Other), Technische Universität Hamburg Arbeitsgruppe Molekulardynamische Simulation Weicher Materie (Other), Technische Universität Hamburg Institut für Kunststoffe und Verbundwerkstoffe (Other)
Other Authors: Würger, Tim [Author] • Lamaka, Sviatlana V. [Author] • Meißner, Robert [Author] • Cyron, Christian J. [Author] • Zheludkevich, Mikhail L. 1976- [Author] • Feiler, Christian [Author] • Aydin, Roland C. [Author]
Type of Resource: E-Book Component Part
Language: English
published:
2021
Series: npj computational materials, 7(2021), 1, Artikel-ID 193, Seite 1-9
Source: Verbunddaten SWB
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ISSN: 2057-3960
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