Christian Johannes Cyron

Helmholtz-Zentrum Hereon

Research Interests

Explore related searches

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

Articles (14)

Collaborators (4)

Christoph Meier

Norbert Huber

Hamburg University of Technology

Martin Kronbichler

Professor for High-Performance Scientific Computing

University of Augsburg

Patrizia TROVALUSCI

Full Professor (since 2016)

Sapienza University of Rome

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Christian Johannes Cyron

Research Interests

Explore related searches

Contact this professor

Articles (14)

Collaborators (4)

Christoph Meier

Norbert Huber

Martin Kronbichler

Patrizia TROVALUSCI

Make your next move.

Christian Johannes Cyron

Research Interests

Explore related searches

Contact this professor

Articles (14)

Dynamic biaxial loading of vascular smooth muscle cell seeded tissue equivalents

Modeling of time-dependent mechanical behavior of oleic acid nanocomposites using nanoindentation

Viscoelastic constitutive artificial neural networks (vCANNs) – A framework for data-driven anisotropic nonlinear finite viscoelasticity

On the construction of an efficient finite-element solver for phase-field simulations of many-particle solid-state-sintering processes

Simulated annealing framework for generating representative volume elements of materials with complex ligamentous microstructures

Strength and ductility loss of Magnesium-Gadolinium due to corrosion in physiological environment: Experiments and modeling

Multi-adaptive spatial discretization of bond-based peridynamics

Peridynamic elastic waves in two-dimensional unbounded domains: Construction of nonlocal Dirichlet-type absorbing boundary conditions

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

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

Combining peridynamic and finite element simulations to capture the corrosion of degradable bone implants and to predict their residual strength

A hybrid meshfree discretization to improve the numerical performance of peridynamic models

Comment on “Tensional homeostasis at different length scales” by D. Stamenović and M. L. Smith, Soft Matter, 2021, 17, 10274–10285, DOI: 10.1039/D0SM01911A

Neural network surgery: Combining training with topology optimization

Collaborators (4)

Christoph Meier

Norbert Huber

Martin Kronbichler

Patrizia TROVALUSCI

Make your next move.