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1 |
Automated model discovery for tensional homeostasis: Constitutive machine learning in growth and remodeling
Holthusen, Hagen. - Hamburg : Technische Universität Hamburg. Universitätsbibliothek, 2025
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2 |
Automated model discovery for tensional homeostasis: Constitutive machine learning in growth and remodeling
Holthusen, Hagen. - Aachen : Universitätsbibliothek der RWTH Aachen, 2025
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3 |
Constitutive Kolmogorov–Arnold Networks (CKANs): Combining accuracy and interpretability in data-driven material modeling
Abdolazizi, Kian Philipp. - Hamburg : Technische Universität Hamburg. Universitätsbibliothek, 2025
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4 |
Large language models predicting the corrosion inhibition efficiency of magnesium dissolution modulators
Busch, Matthias. - Hamburg : Technische Universität Hamburg. Universitätsbibliothek, 2025
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5 |
SPiFOL: A Spectral-based physics-informed finite operator learning for prediction of mechanical behavior of microstructures
Rajaei Harandi, Ali. - Aachen : Universitätsbibliothek der RWTH Aachen, 2025
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6 |
Automated model discovery for human cardiac tissue
Martonová, Denisa. - Aachen : Universitätsbibliothek der RWTH Aachen, 2024
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7 |
Automated Model Discovery for Tensional Homeostasis: Constitutive Machine Learning in Growth and Remodeling
Holthusen, Hagen. - Aachen : Universitätsbibliothek der RWTH Aachen, 2024
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8 |
Best-in-class modeling
Linka, Kevin. - Aachen : Universitätsbibliothek der RWTH Aachen, 2024
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9 |
Discovering uncertainty: Bayesian constitutive artificial neural networks
Linka, Kevin. - Aachen : Universitätsbibliothek der RWTH Aachen, 2024
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10 |
Machine learning reveals correlations between brain age and mechanics
Hoppstädter, Mayra. - Hamburg : Technische Universität Hamburg. Universitätsbibliothek, 2024
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