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21 |
Crash testing machine learning force fields for molecules, materials, and interfaces: model analysis in the TEA Challenge 2023†
Poltavsky, Igor. - Erlangen : Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 2025
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22 |
Crash testing machine learning force fields for molecules, materials, and interfaces: molecular dynamics in the TEA challenge 2023†
Poltavsky, Igor. - Erlangen : Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 2025
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23 |
Detection of particle contamination and lubrication outage in journal bearings in wind turbine gearboxes using surface acoustic wave measurements and machine learning
Decker, Thomas Matthias. - Aachen : Universitätsbibliothek der RWTH Aachen, 2025
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24 |
Discovery of liquid crystalline polymers with high thermal conductivity using machine learning
Maeda, Hayato. - Aachen : Universitätsbibliothek der RWTH Aachen, 2025
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25 |
Discussion on Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models
Steland, Ansgar. - Aachen : Universitätsbibliothek der RWTH Aachen, 2025
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26 |
Dynamic deep learning based super-resolution for the shallow water equations
Witte, Maximilian. - Hamburg : Technische Universität Hamburg. Universitätsbibliothek, 2025
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27 |
Editorial: Integrating machine learning with physics-based modeling of physiological systems
Lee, Jae H.. - Erlangen : Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 2025
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28 |
Ermittlung von versiegelten Flächen als komplexe Aufgabe (Projekt SEAL)
Lorkowski, Peter. - Berlin : KartDok - Repositorium Kartographie Staatsbibliothek zu Berlin - Preußischer Kulturbesitz - Kartenabteilung -, 2025
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29 |
Estimation of minimal data sets sizes for machine learning predictions in digital mental health interventions
Lüneburg : Medien- und Informationszentrum, Leuphana Universität Lüneburg, 2025
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30 |
evalPM
Woltmann, Lucas. - Dresden : Technische Universität Dresden, 2025
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Administration
