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26261 |
Probing nuclear quantum effects in electrocatalysis via a machine-learning enhanced grand canonical constant potential approach
Enthalten in Nature Communications Bd. 16, 16.4.2025, Nr. 1, date:12.2025: 1-13
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26262 |
Probing out-of-distribution generalization in machine learning for materials
Enthalten in Communications materials Bd. 6, 11.1.2025, Nr. 1, date:12.2025: 1-10
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26263 |
Probing the Rheological Properties of Liquids Under Conditions of Elastohydrodynamic Lubrication Using Simulations and Machine Learning
Enthalten in Tribology letters Bd. 69, 27.5.2021, Nr. 3, date:9.2021: 1-19
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26264 |
Probing the transition from dislocation jamming to pinning by machine learning
Enthalten in Materials theory Bd. 4, 9.10.2020, Nr. 1, date:12.2020: 1-16
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26265 |
Probing Vegetation, Climatic Data, and Machine Learning for Agricultural Planning and Climate Action: A Case Study from North India
Enthalten in Remote sensing in earth systems sciences Bd. 8, 30.12.2024, Nr. 1, date:3.2025: 213-231
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26266 |
Procedure Model for the Use of Machine Learning
Enthalten in ATZ worldwide Bd. 126, 23.2.2024, Nr. 2-3, date:2.2024: 48-52
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26267 |
Process Design of Laser Powder Bed Fusion of Stainless Steel Using a Gaussian Process-Based Machine Learning Model
Enthalten in JOM Bd. 72, 23.9.2019, Nr. 1, date:1.2020: 420-428
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26268 |
Process–Material–Performance Trade-off Exploration of Materials Sintering with Machine Learning Models
Enthalten in Integrating materials and manufacturing innovation Bd. 13, 13.11.2024, Nr. 4, date:12.2024: 927-941
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26269 |
Process parameter optimisation for selective laser melting of AlSi10Mg-316L multi-materials using machine learning method
Enthalten in The international journal of advanced manufacturing technology Bd. 129, 21.10.2023, Nr. 7-8, date:12.2023: 3093-3108
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26270 |
Procrustes is a machine-learning approach that removes cross-platform batch effects from clinical RNA sequencing data
Enthalten in Communications biology Bd. 7, 30.3.2024, Nr. 1, date:12.2024: 1-14
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