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25391 |
Physics-constrained machine learning for electrodynamics without gauge ambiguity based on Fourier transformed Maxwell’s equations
Enthalten in Scientific reports Bd. 14, 26.6.2024, Nr. 1, date:12.2024: 1-13
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25392 |
Physics-Guided Machine Learning for Satellite Spin Property Estimation from Light Curves
Enthalten in The Journal of the astronautical sciences Bd. 71, 24.9.2024, Nr. 5, date:10.2024: 1-36
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25393 |
Physics-guided machine learning from simulated data with different physical parameters
Enthalten in Knowledge and information systems Bd. 65, 31.3.2023, Nr. 8, date:8.2023: 3223-3250
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25394 |
Physics-informed interpretable machine learning method for DOC monitoring in peripheral milling
Enthalten in The international journal of advanced manufacturing technology Bd. 132, 8.3.2024, Nr. 1-2, date:5.2024: 179-191
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25395 |
Physics-informed machine learning algorithms for forecasting sediment yield: an analysis of physical consistency, sensitivity, and interpretability
Enthalten in Environmental science and pollution research Bd. 31, 11.7.2024, Nr. 34, date:7.2024: 47237-47257
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25396 |
Physics-Informed Machine Learning and Uncertainty Quantification for Mechanics of Heterogeneous Materials
Enthalten in Integrating materials and manufacturing innovation Bd. 11, 4.11.2022, Nr. 4, date:12.2022: 607-627
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25397 |
Physics-informed machine learning for automatic model reduction in chemical reaction networks
Enthalten in Scientific reports Bd. 15, 7.3.2025, Nr. 1, date:12.2025: 1-15
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25398 |
Physics-informed machine learning for backbone identification in discrete fracture networks
Enthalten in Computational geosciences Bd. 24, 17.5.2020, Nr. 3, date:6.2020: 1429-1444
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25399 |
Physics-informed machine learning for identifying gradient-distributed plastic parameters of the S38C axle by nano-indentation
Enthalten in Acta mechanica Sinica Bd. 42, 6.3.2025, Nr. 1, date:1.2026: 1-17
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25400 |
Physics-informed machine learning for metamodeling thermal comfort in non-air-conditioned buildings
Enthalten in Building simulation Bd. 16, 30.9.2022, Nr. 2, date:2.2023: 299-316
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