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Materials Science

D-Index
61
Citations
19543
World Ranking
6650
National Ranking
1681

Overview

Dennis M. Dimiduk is affiliated with The Ohio State University in the United States. Their research spans fields including Engineering and Computer Science, with specific focus on subfields such as Computer Vision and Pattern Recognition, Materials Chemistry, Mechanics of Materials, Computational Theory and Mathematics, and Civil and Structural Engineering.

Their work primarily addresses several main topics, including:

  • Machine Learning in Materials Science
  • Composite Material Mechanics
  • Advanced Mathematical Modeling in Engineering
  • Topology Optimization in Engineering
  • Image Processing Techniques and Applications
  • Advanced Image and Video Retrieval Techniques
  • Optical measurement and interference techniques

Dennis M. Dimiduk has published in journals such as International Materials Reviews, Integrating Materials and Manufacturing Innovation, and arXiv (Cornell University). Frequent publication venues include:

  • Integrating Materials and Manufacturing Innovation
  • arXiv (Cornell University)
  • International Materials Reviews

Recent publications include:

  • Statistically equivalent representative volume elements (SERVE) for material behaviour analysis and multiscale modelling, 2023, International Materials Reviews
  • ITKMontage: A Software Module for Image Stitching, 2021, Integrating Materials and Manufacturing Innovation
  • Evolution of Model-Based Materials Definitions, 2024, Integrating Materials and Manufacturing Innovation
  • Importance of Hyper-Parameter Optimization During Training of Physics-Informed Deep Learning Networks, 2025, Integrating Materials and Manufacturing Innovation
  • Importance of hyper-parameter optimization during training of physics-informed deep learning networks, 2024, arXiv (Cornell University)

Collaborations have been a significant aspect of their research activities. Frequent co-authors include:

  • David Furrer
  • Ashley Lenau
  • Stephen R. Niezgoda
  • Somnath Ghosh
  • Dženan Zukić

Best Publications

  • Sample dimensions influence strength and crystal plasticity.

    Michael D. Uchic;Dennis M. Dimiduk;Jeffrey N. Florando;William D. Nix

  • Progress in the understanding of gamma titanium aluminides

    Young-Won Kim;Dennis M. Dimiduk

  • Gamma titanium aluminide alloys : an assessment within the competition of aerospace structural materials

    D.M Dimiduk

  • Plasticity of Micrometer-Scale Single Crystals in Compression

    Michael D. Uchic;Paul A. Shade;Dennis M. Dimiduk

  • Size-affected single-slip behavior of pure nickel microcrystals

    D.M. Dimiduk;M.D. Uchic;T.A. Parthasarathy

  • Scale-Free Intermittent Flow in Crystal Plasticity

    Dennis M. Dimiduk;Chris Woodward;Richard LeSar;Michael D. Uchic

  • Contribution to size effect of yield strength from the stochastics of dislocation source lengths in finite samples

    Triplicane A. Parthasarathy;Satish I. Rao;Dennis M. Dimiduk;Michael D. Uchic

  • A methodology to investigate size scale effects in crystalline plasticity using uniaxial compression testing

    Michael D. Uchic;Dennis M. Dimiduk

  • Mo-Si-B Alloys: Developing a Revolutionary Turbine-Engine Material

    Dennis M. Dimiduk;John H. Perepezko

  • 3D reconstruction and characterization of polycrystalline microstructures using a FIB-SEM system

    M.A. Groeber;B.K. Haley;M.D. Uchic;D.M. Dimiduk

  • Strength and ductile-phase toughening in the two-phase Nb/Nb 5 Si 3 alloys

    Madan G. Mendiratta;John J. Lewandowski;Dennis M. Dimiduk

  • Dislocation structures and their relationship to strength in deformed nickel microcrystals

    D.M. Norfleet;D.M. Dimiduk;S.J. Polasik;M.D. Uchic

  • The development of Nb-based advanced intermetallic alloys for structural applications

    P. R. Subramanian;M. G. Mendiratta;D. M. Dimiduk

  • Athermal mechanisms of size-dependent crystal flow gleaned from three-dimensional discrete dislocation simulations

    S.I. Rao;D.M. Dimiduk;T.A. Parthasarathy;M.D. Uchic

  • Perspectives on the Impact of Machine Learning, Deep Learning, and Artificial Intelligence on Materials, Processes, and Structures Engineering

    Dennis M. Dimiduk;Elizabeth A. Holm;Stephen R. Niezgoda

  • 3D microstructural characterization of nickel superalloys via serial-sectioning using a dual beam FIB-SEM

    Michael D. Uchic;Michael A. Groeber;Dennis M. Dimiduk;J.P. Simmons

  • Oxidation behavior of a refractory NbCrMo0.5Ta0.5TiZr alloy

    D. M. Dimiduk;C. Woodward;D. B. Miracle;O. N. Senkov

  • Oxidation mechanisms in Mo-reinforced Mo5SiB2(T2)–Mo3Si alloys

    T.A Parthasarathy;M.G Mendiratta;D.M Dimiduk

  • A framework for automated analysis and simulation of 3D polycrystalline microstructures. Part 2: Synthetic structure generation

    Michael Groeber;Somnath Ghosh;Michael D. Uchic;Dennis M. Dimiduk

  • Coarsening kinetics of γ′ precipitates in the commercial nickel base Superalloy René 88 DT

    J. Tiley;G.B. Viswanathan;R. Srinivasan;R. Banerjee

  • Advanced intermetallic alloys—beyond gamma titanium aluminides

    P.R Subramanian;M.G Mendiratta;D.M Dimiduk;M.A Stucke

Frequent Co-Authors

Michael D. Uchic
Michael D. Uchic United States Air Force Research Laboratory
Triplicane A. Parthasarathy
Triplicane A. Parthasarathy United States Air Force Research Laboratory
Hamish L. Fraser
Hamish L. Fraser The Ohio State University
Vijay K. Vasudevan
Vijay K. Vasudevan Google (United States)
Somnath Ghosh
Somnath Ghosh Johns Hopkins University
Daniel B. Miracle
Daniel B. Miracle United States Air Force Research Laboratory
John J. Lewandowski
John J. Lewandowski Case Western Reserve University
James P. Sethna
James P. Sethna Cornell University
Raghavan Srinivasan
Raghavan Srinivasan Texas A&M University
Kevin J. Hemker
Kevin J. Hemker Johns Hopkins University

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