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11931 - 11940 von 15184

	11931	Machine learning templates for QCD factorization in the search for physics beyond the standard model Enthalten in Journal of high energy physics Bd. 2019, 28.5.2019, Nr. 5, date:5.2019: 1-16
	11932	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
	11933	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
	11934	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
	11935	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
	11936	Machine learning the dimension of a Fano variety Enthalten in Nature Communications Bd. 14, 8.9.2023, Nr. 1, date:12.2023: 1-11
	11937	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
	11938	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
	11939	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
	11940	Machine learning the metastable phase diagram of covalently bonded carbon Enthalten in Nature Communications Bd. 13, 6.6.2022, Nr. 1, date:12.2022: 1-12

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