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Ergebnis der Suche nach: "Machine Learning"
im Bestand: Gesamter Bestand

26901 - 26910 von 32709
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Artikel 26901 Machine learning the abiotic stressor impacts on nitrogen availability and photo energy use in dryland forage systems under different tillage and green manuring practices
Enthalten in Discover soil Bd. 2, 28.1.2025, Nr. 1, date:12.2025: 1-22
Online Ressource
Artikel 26902 Machine learning the breakdown of tame effective theories
Enthalten in The European physical journal / C / Particles and fields Bd. 84, 25.6.2024, Nr. 6, date:6.2024: 1-21
Online Ressource
Artikel 26903 Machine-learning the configurational energy of multicomponent crystalline solids
Enthalten in npj computational materials Bd. 4, 1.11.2018, Nr. 1, date:12.2018: 1-7
Online Ressource
Artikel 26904 Machine learning the deuteron: new architectures and uncertainty quantification
Enthalten in The European physical journal / Plus Bd. 139, 25.2.2024, Nr. 2, date:2.2024: 1-13
Online Ressource
Artikel 26905 Machine learning the dimension of a Fano variety
Enthalten in Nature Communications Bd. 14, 8.9.2023, Nr. 1, date:12.2023: 1-11
Online Ressource
Artikel 26906 Machine learning the electric field response of condensed phase systems using perturbed neural network potentials
Enthalten in Nature Communications Bd. 15, 18.9.2024, Nr. 1, date:12.2024: 1-12
Online Ressource
Artikel 26907 Machine learning the frontier orbital energies of SubPc based triads
Enthalten in Journal of molecular modeling Bd. 28, 13.9.2022, Nr. 10, date:10.2022: 1-13
Online Ressource
Artikel 26908 Machine learning the Hohenberg-Kohn map for molecular excited states
Enthalten in Nature Communications Bd. 13, 17.11.2022, Nr. 1, date:12.2022: 1-10
Online Ressource
Artikel 26909 Machine learning the Hubbard U parameter in DFT+U using Bayesian optimization
Enthalten in npj computational materials Bd. 6, 27.11.2020, Nr. 1, date:12.2020: 1-6
Online Ressource
Artikel 26910 Machine learning the magnetocaloric effect in manganites from lattice parameters
Enthalten in Applied physics / A / Materials science & processing Bd. 126, 13.4.2020, Nr. 5, date:5.2020: 1-12
Online Ressource


26901 - 26910 von 32709
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