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D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
43
Citations
7182
World Ranking
1720
National Ranking
59

Overview

Norbert Huber is affiliated with Hamburg University of Technology in Germany. Their research focuses primarily on materials science and engineering, with a significant emphasis on materials chemistry and mechanical engineering subfields.

Their scholarly work covers multiple specialized areas, including:

  • Nanoporous metals and alloys
  • Anodic oxide films and nanostructures
  • Electrocatalysts for energy conversion
  • Surface treatment and residual stress
  • Metal forming simulation techniques
  • Nuclear materials and radiation effects
  • Welding techniques and residual stresses

Norbert Huber has published extensively, contributing to various academic journals and venues. Their frequent publication outlets include:

  • MRS Advances
  • Materials
  • Journal of materials research/Pratt's guide to venture capital sources
  • Computational Materials Science
  • Fatigue & Fracture of Engineering Materials & Structures

Representative recent papers authored or coauthored by Norbert Huber include:

  • "A Review of Non-Destructive Testing (NDT) Techniques for Defect Detection: Application to Fusion Welding and Future Wire Arc Additive Manufacturing Processes," 2022, Materials
  • "A Review of Experimentally Informed Micromechanical Modeling of Nanoporous Metals: From Structural Descriptors to Predictive Structure-Property Relationships," 2020, Materials
  • "Hybrid Modelling by Machine Learning Corrections of Analytical Model Predictions towards High-Fidelity Simulation Solutions," 2021, Materials
  • "Editorial: Machine Learning and Data Mining in Materials Science," 2020, Frontiers in Materials
  • "Prediction of elastic-plastic deformation of nanoporous metals by FEM beam modeling: A bottom-up approach from ligaments to real microstructures," 2020, Materials Science and Engineering A

The researcher collaborates regularly with several frequent coauthors, among them:

  • Claudia Richert
  • Meenakshi Dutt
  • Marian Kennedy
  • Praveen Kumar
  • John S. McCloy

Their contributions integrate advanced experimental, computational, and machine learning approaches to explore and model the behavior and properties of materials at microstructural and nanoscale levels.

Best Publications

  • Experimental analysis and modelling of particle-wall collisions

    M Sommerfeld;N Huber

  • A Review of the Application of Machine Learning and Data Mining Approaches in Continuum Materials Mechanics

    Frederic E. Bock;Roland C. Aydin;Christian J. Cyron;Christian J. Cyron;Norbert Huber;Norbert Huber

  • On the feasibility of friction spot joining in magnesium/fiber-reinforced polymer composite hybrid structures

    S.T. Amancio-Filho;C. Bueno;J.F. dos Santos;N. Huber

  • Modelling and numerical calculation of dilute-phase pneumatic conveying in pipe systems

    N. Huber;M. Sommerfeld

  • Finite deformation viscoelasticity laws

    N. Huber;C. Tsakmakis

  • Finite element based simulation of dry sliding wear

    V Hegadekatte;N Huber;O Kraft

  • The influence of refill FSSW parameters on the microstructure and shear strength of 5042 aluminium welds

    M.D. Tier;T.S. Rosendo;J.F. dos Santos;N. Huber

  • On the effect of a general residual stress state on indentation and hardness testing

    N. Huber;J. Heerens

  • Determination of constitutive properties fromspherical indentation data using neural networks. Part i:the case of pure kinematic hardening in plasticity laws

    N. Huber;Ch. Tsakmakis

  • Scaling laws of nanoporous metals under uniaxial compression

    Norbert Huber;R. N. Viswanath;Nadiia Mameka;Jürgen Markmann

  • Determination of constitutive properties fromspherical indentation data using neural networks. Part ii:plasticity with nonlinear isotropic and kinematichardening

    N. Huber;Ch. Tsakmakis

  • Effects of tool rotational and welding speed on microstructure and mechanical properties of bobbin-tool friction-stir welded Mg AZ31

    W.Y. Li;T. Fu;L. Hütsch;J. Hilgert

  • Characterization of the cross-sectional particle concentration distribution in pneumatic conveying systems

    N. Huber;M. Sommerfeld

  • Identification of elastic-plastic material parameters from pyramidal indentation of thin films

    N. Huber;W. D. Nix;H. Gao

  • A predictive modeling scheme for wear in tribometers

    V. Hegadekatte;S. Kurzenhäuser;N. Huber;O. Kraft

  • Asymmetric mechanical properties and tensile behaviour prediction of aluminium alloy 5083 friction stir welding joints

    D. Rao;K. Huber;J. Heerens;J.F. dos Santos

  • Neutrons and Synchrotron Radiation in Engineering Materials Science

    Peter Staron;Torben Fischer;Thomas Lippmann;Andreas Stark

  • Thermal models for bobbin tool friction stir welding

    J. Hilgert;H.N.B. Schmidt;J.F. dos Santos;N. Huber

  • Spherical indentation into elastoplastic materials: Indentation-response based definitions of the representative strain

    Yanping Cao;Xiuqing Qian;Xiuqing Qian;Norbert Huber

  • A neural network tool for identifying the material parameters of a finite deformation viscoplasticity model with static recovery

    N. Huber;Ch. Tsakmakis

Frequent Co-Authors

Oliver Kraft
Oliver Kraft Karlsruhe Institute of Technology
Norbert Schell
Norbert Schell Helmholtz-Zentrum Geesthacht Centre for Materials and Coastal Research
Gerold A. Schneider
Gerold A. Schneider Hamburg University of Technology
Karl Ulrich Kainer
Karl Ulrich Kainer Hamburg University of Technology
Surya R. Kalidindi
Surya R. Kalidindi Georgia Institute of Technology
Helmut Clemens
Helmut Clemens University of Leoben
Michael V. Swain
Michael V. Swain University of Sydney
Volker Abetz
Volker Abetz Helmholtz-Zentrum Geesthacht Centre for Materials and Coastal Research
Jörg Weissmüller
Jörg Weissmüller Hamburg University of Technology
Thomas Klassen
Thomas Klassen Helmholtz-Zentrum Geesthacht Centre for Materials and Coastal Research

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