Norbert Huber

Professor

Hamburg University of Technology

Germany

Research Interests

Explore related searches

Professors in Germany Professors in Materials Science Materials Science professors in Germany

Contact this professor

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

Articles (10)

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Collaborators (3)

Christian Johannes Cyron

Professor

Helmholtz-Zentrum Hereon

GERMANY

View details

Thomas F. Keller

Deutsches Elektronen-Synchrotron DESY

GERMANY

View details

Patrick Huber

Professor and Institute Director

Universität Hamburg

GERMANY

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Norbert Huber

Research Interests

Explore related searches

Contact this professor

Articles (10)

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

Data-driven modelling of the multiaxial yield behaviour of nanoporous metals

A comparison of ligament geometries in real and computer-generated nanoporous gold based on cross-section descriptors

Densification of nanoporous metals during nanoindentation: The role of structural and mechanical properties

How nanoporous silicon-polypyrrole hybrids flex their muscles in aqueous electrolytes: In operando high-resolution x-ray diffraction and electron tomography-based micromechanical computer simulations

A modeling approach to predict the mechanical response of materials to irradiation damage from external sources: Nanoindentation of Pb-implanted ZrSiO4

On the prediction of fatigue crack growth based on weight functions in residual stress fields induced by laser shock peening and laser heating

Percolation transitions in pyrochlore: Radiation-damage and thermally induced structural reorganization

A Strategy for Dimensionality Reduction and Data Analysis Applied to Microstructure–Property Relationships of Nanoporous Metals

Hybrid Modelling by Machine Learning Corrections of Analytical Model Predictions towards High-Fidelity Simulation Solutions

Collaborators (3)

Christian Johannes Cyron

Thomas F. Keller

Patrick Huber

Make your next move.