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Christian J. Cyron

Hochschullehrer

Name	Christian J. Cyron
Place	Deutschland
Gender	männlich
Academic degree	Prof. Dr.-Ing.
Profession	Hochschullehrer (characteristic profession) Maschinenbauingenieur
Variant	Christian Johannes Cyron (vollständiger Name) Christian Cyron
Related	Technische Universität München Helmholtz-Zentrum Geesthacht Technische Universität Hamburg Technische Universität Hamburg. Institute of Continuum Mechanics and Materials Mechanics
Further information	Institutsleiter des Instituts für Kontinuums- und Werkstoffmechanik, Technische Universität Hamburg seit 2018; Promotion 2011 an der Technischen Universität München, dort 2015-2018 TUM Junior Fellow und Forschungsgruppenleiter
Source	Homepage: https://www.tuhh.de/icm/team/leitung/prof-dr-ing-christian-j-cyron.html (Stand: 19.12.2018)
Record type	Person
GND-Identifier	1174907649
Record ID	1174907649
Involved in show all Computational analysis of heart valve growth and remodeling after the Ross procedure Dynamic biaxial loading of vascular smooth muscle cell seeded tissue equivalents Enhancing 3D reconstruction accuracy of FIB tomography data using multi-voltage images and multimodal machine learning Multiscale homogenized constrained mixture model of the bio-chemo-mechanics of soft tissue growth and remodeling Nonlocal Nernst-Planck-Poisson System for Modeling Electrochemical Corrosion in Biodegradable Magnesium Implants Role of slice thickness quantification in the 3D reconstruction of FIB tomography data of nanoporous materials Searching the chemical space for effective magnesium dissolution modulators: a deep learning approach using sparse features A homogenized constrained mixture model of cardiac growth and remodeling: analyzing mechanobiological stability and reversal What are the key mechanical mechanisms governing integrin-mediated cell migration in three-dimensional fiber networks? Multi-adaptive spatial discretization of bond-based peridynamics A homogenized constrained mixture model of cardiac growth and remodeling: analyzing mechanobiological stability and reversal Dirichlet-type absorbing boundary conditions for peridynamic scalar waves in two-dimensional viscous media Framework for generating representative volume elements of random ligament networks Searching the chemical space for effective magnesium dissolution modulators: a deep learning approach using sparse features Utilizing computational modelling to bridge the gap between in vivo and in vitro degradation rates for Mg-xGd implants A versatile SPH modeling framework for coupled microfluid-powder dynamics in additive manufacturing: binder jetting, material jetting, directed energy deposition and powder bed fusion Accelerating the distance-minimizing method for data-driven elasticity with adaptive hyperparameters A versatile SPH modeling framework for coupled microfluid-powder dynamics in additive manufacturing: binder jetting, material jetting, directed energy deposition and powder bed fusion Accelerating the distance-minimizing method for data-driven elasticity with adaptive hyperparameters Mixing, digestion, and emptying in human-stomach: a computational fluid dynamics study Predicting and understanding arterial elasticity from key microstructural features by bidirectional deep learning Training deep neural networks to reconstruct nanoporous structures from FIB tomography images using synthetic training data Ultrasound shear wave elasticity imaging with spatio-temporal deep learning An SPH framework for fluid–solid and contact interaction problems including thermo-mechanical coupling and reversible phase transitions A computational framework for modeling cell–matrix interactions in soft biological tissues Mechanical homeostasis in tissue equivalents: a review Constitutive artificial neural networks: a general anisotropic constitutive modeling framework utilizing machine learning Identification of the concentration‐dependent viscoelastic constitutive parameters of gelatin by combining computational mechanics and machine learning Concentration‐Specific Constitutive Modeling of Gelatin Based on Artificial Neural Networks A computational framework for modeling cell–matrix interactions in soft biological tissues An SPH framework for fluid–solid and contact interaction problems including thermo-mechanical coupling and reversible phase transitions Computational Multiphysics Modeling with Smoothed Particle Hydrodynamics and Finite Elements Concentration‐specific constitutive modeling of gelatin based on artificial neural networks Constitutive artificial neural networks : a fast and general approach to predictive data-driven constitutive modeling by deep learning Constitutive artificial neural networks : a general anisotropic constitutive modeling framework utilizing machine learning Global Sensitivity Analysis for Models of Active Biomechanical Systems Global sensitivity analysis of a homogenized constrained mixture model of arterial growth and remodeling Identification of the concentration‐dependent viscoelastic constitutive parameters of gelatin by combining computational mechanics and machine learning Mechanical homeostasis in tissue equivalents: a review Micromechanical Foundations of Mechanobiology in Soft Tissues Neural network surgery: combining training with topology optimization Predicting the inhibition efficiencies of magnesium dissolution modulators using sparse machine learning models Predictive constitutive modelling of arteries by deep learning Quantifying the high-temperature separation behavior of lamellar interfaces in γ-titanium aluminide under tensile loading by molecular dynamics Understanding creep in TiAl alloys on the nanosecond scale by molecular dynamics simulations Unraveling the local relation between tissue composition and human brain mechanics through machine learning What do cells regulate in soft tissues on short time scales? Dirichlet absorbing boundary conditions for classical and peridynamic diffusion-type models Dirichlet absorbing boundary conditions for classical and peridynamic diffusion-type models Mechanics of the stomach: A review of an emerging field of biomechanics A review of the application of machine learning and data mining approaches in continuum materials mechanics Computational micromechanics of matrix-inclusion composites General multi-fidelity framework for training artificial neural networks with computational models Mechanics of the stomach: a review of an emerging field of biomechanics Three-dimensional Homogenized Constrained Mixture Model of Anisotropic Vascular Growth and Remodeling Anisotropic stiffness and tensional homeostasis induce a natural anisotropy of volumetric growth and remodeling in soft biological tissues Capping protein-controlled actin polymerization shapes lipid membranes Capping protein-controlled actin polymerization shapes lipid membranes Computational model of gastric motility with active-strain electromechanics Micromechanical continuum approach for the analysis of biopolymer networks

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Katalog der Deutschen Nationalbibliothek

Christian J. Cyron

Computational analysis of heart valve growth and remodeling after the Ross procedure

Dynamic biaxial loading of vascular smooth muscle cell seeded tissue equivalents

Enhancing 3D reconstruction accuracy of FIB tomography data using multi-voltage images and multimodal machine learning

Multiscale homogenized constrained mixture model of the bio-chemo-mechanics of soft tissue growth and remodeling

Nonlocal Nernst-Planck-Poisson System for Modeling Electrochemical Corrosion in Biodegradable Magnesium Implants

Role of slice thickness quantification in the 3D reconstruction of FIB tomography data of nanoporous materials

Searching the chemical space for effective magnesium dissolution modulators: a deep learning approach using sparse features

A homogenized constrained mixture model of cardiac growth and remodeling: analyzing mechanobiological stability and reversal

What are the key mechanical mechanisms governing integrin-mediated cell migration in three-dimensional fiber networks?

Multi-adaptive spatial discretization of bond-based peridynamics

A homogenized constrained mixture model of cardiac growth and remodeling: analyzing mechanobiological stability and reversal

Dirichlet-type absorbing boundary conditions for peridynamic scalar waves in two-dimensional viscous media

Framework for generating representative volume elements of random ligament networks

Searching the chemical space for effective magnesium dissolution modulators: a deep learning approach using sparse features

Utilizing computational modelling to bridge the gap between in vivo and in vitro degradation rates for Mg-xGd implants

A versatile SPH modeling framework for coupled microfluid-powder dynamics in additive manufacturing: binder jetting, material jetting, directed energy deposition and powder bed fusion

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

A versatile SPH modeling framework for coupled microfluid-powder dynamics in additive manufacturing: binder jetting, material jetting, directed energy deposition and powder bed fusion

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

Mixing, digestion, and emptying in human-stomach: a computational fluid dynamics study

Predicting and understanding arterial elasticity from key microstructural features by bidirectional deep learning

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

Ultrasound shear wave elasticity imaging with spatio-temporal deep learning

An SPH framework for fluid–solid and contact interaction problems including thermo-mechanical coupling and reversible phase transitions

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

Mechanical homeostasis in tissue equivalents: a review

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

Identification of the concentration‐dependent viscoelastic constitutive parameters of gelatin by combining computational mechanics and machine learning

Concentration‐Specific Constitutive Modeling of Gelatin Based on Artificial Neural Networks

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

An SPH framework for fluid–solid and contact interaction problems including thermo-mechanical coupling and reversible phase transitions

Computational Multiphysics Modeling with Smoothed Particle Hydrodynamics and Finite Elements

Concentration‐specific constitutive modeling of gelatin based on artificial neural networks

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

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

Global Sensitivity Analysis for Models of Active Biomechanical Systems

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

Identification of the concentration‐dependent viscoelastic constitutive parameters of gelatin by combining computational mechanics and machine learning

Mechanical homeostasis in tissue equivalents: a review

Micromechanical Foundations of Mechanobiology in Soft Tissues

Neural network surgery: combining training with topology optimization

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

Predictive constitutive modelling of arteries by deep learning

Quantifying the high-temperature separation behavior of lamellar interfaces in γ-titanium aluminide under tensile loading by molecular dynamics

Understanding creep in TiAl alloys on the nanosecond scale by molecular dynamics simulations

Unraveling the local relation between tissue composition and human brain mechanics through machine learning

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

Dirichlet absorbing boundary conditions for classical and peridynamic diffusion-type models

Dirichlet absorbing boundary conditions for classical and peridynamic diffusion-type models

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

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

Computational micromechanics of matrix-inclusion composites

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

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

Three-dimensional Homogenized Constrained Mixture Model of Anisotropic Vascular Growth and Remodeling

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

Capping protein-controlled actin polymerization shapes lipid membranes

Capping protein-controlled actin polymerization shapes lipid membranes

Computational model of gastric motility with active-strain electromechanics

Micromechanical continuum approach for the analysis of biopolymer networks