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21 Einträge gefunden

Training deep neural networks to reconstruct nanoporous structures from FIB tomography images using synthetic training data
2022 - TUHH Open Research - frei zugänglich
Training deep neural networks to reconstruct nanoporous structures from FIB tomography images using synthetic training data
2022 - TUHH Open Research - frei zugänglich
Accelerating the distance-minimizing method for data-driven elasticity with adaptive hyperparameters
2022 - TUHH Open Research - frei zugänglich
Global sensitivity analysis of a homogenized constrained mixture model of arterial growth and remodeling
2021 - TUHH Open Research - frei zugänglich
Mechanical homeostasis in tissue equivalents: a review
2021 - TUHH Open Research - frei zugänglich
Constitutive artificial neural networks : a fast and general approach to predictive data-driven constitutive modeling by deep learning
2021 - TUHH Open Research - frei zugänglich
Neural network surgery: combining training with topology optimization
2021 - TUHH Open Research - frei zugänglich
Machine learning-augmented and microspectroscopy-informed multiparametric MRI for the non-invasive prediction of articular cartilage composition
2021 - TUHH Open Research
What do cells regulate in soft tissues on short time scales?
2021 - TUHH Open Research - frei zugänglich
Predicting the inhibition efficiencies of magnesium dissolution modulators using sparse machine learning models
2021 - TUHH Open Research - frei zugänglich
A computational framework for modeling cell–matrix interactions in soft biological tissues
2021 - TUHH Open Research - frei zugänglich
Training deep neural networks to reconstruct nanoporous structures from FIB tomography images using synthetic training data
2021 - TUHH Open Research - frei zugänglich
Constitutive artificial neural networks: a general anisotropic constitutive modeling framework utilizing machine learning
2021 - TUHH Open Research
Computational study of the geometric properties governing the linear mechanical behavior of fiber networks
2021 - TUHH Open Research
Computer-controlled biaxial bioreactor for investigating cell-mediated homeostasis in tissue equivalents
2020 - TUHH Open Research
The accuracy of laser flash analysis explored by finite element method and numerical fitting
2020 - TUHH Open Research
A review of the application of machine learning and data mining approaches in continuum materials mechanics
2019 - TUHH Open Research - frei zugänglich
Anisotropic stiffness and tensional homeostasis induce a natural anisotropy of volumetric growth and remodeling in soft biological tissues
2019 - TUHH Open Research
Mechanics of the stomach: a review of an emerging field of biomechanics
2019 - TUHH Open Research - frei zugänglich
General multi-fidelity framework for training artificial neural networks with computational models
2019 - TUHH Open Research - frei zugänglich

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Training deep neural networks to reconstruct nanoporous structures from FIB tomography images using synthetic training data

Training deep neural networks to reconstruct nanoporous structures from FIB tomography images using synthetic training data

Accelerating the distance-minimizing method for data-driven elasticity with adaptive hyperparameters

Global sensitivity analysis of a homogenized constrained mixture model of arterial growth and remodeling

Mechanical homeostasis in tissue equivalents: a review

Constitutive artificial neural networks : a fast and general approach to predictive data-driven constitutive modeling by deep learning

Neural network surgery: combining training with topology optimization

Machine learning-augmented and microspectroscopy-informed multiparametric MRI for the non-invasive prediction of articular cartilage composition

What do cells regulate in soft tissues on short time scales?

Predicting the inhibition efficiencies of magnesium dissolution modulators using sparse machine learning models

A computational framework for modeling cell–matrix interactions in soft biological tissues

Training deep neural networks to reconstruct nanoporous structures from FIB tomography images using synthetic training data

Constitutive artificial neural networks: a general anisotropic constitutive modeling framework utilizing machine learning

Computational study of the geometric properties governing the linear mechanical behavior of fiber networks

Computer-controlled biaxial bioreactor for investigating cell-mediated homeostasis in tissue equivalents

The accuracy of laser flash analysis explored by finite element method and numerical fitting

A review of the application of machine learning and data mining approaches in continuum materials mechanics

Anisotropic stiffness and tensional homeostasis induce a natural anisotropy of volumetric growth and remodeling in soft biological tissues

Mechanics of the stomach: a review of an emerging field of biomechanics

General multi-fidelity framework for training artificial neural networks with computational models