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• 2017

  Analytical and computational analysis of strength properties of geopolymer composites

  Kataruka, A., Guleryuz, E., Koric, S., M. Kriven, W. & Akono, A-T., Jun 26 2017.

  Research output: Contribution to conference › Paper › peer-review

  • composite materials
  • fillers
  • compressive strength
  • reinforcing materials
  • inclusions
• 2020

  Development of artificial neural network potential for graphene

  Singh, A., Chen, X., Li, Y., Koric, S. & Guleryuz, E., 2020, AIAA Scitech 2020 Forum. American Institute of Aeronautics and Astronautics Inc, AIAA, (AIAA Scitech 2020 Forum; vol. 1 PartF).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Graphene
  • Neural networks
  • Systems analysis
  • Functional materials
  • Molecular dynamics
• 2019

  Running Jet Engine Models on Thousands of Processors with LS-DYNA Implicit

  Ashcraft, C., Dawson, J., Grimes, R., Guleryuz, E., Koric, S., Lucas, R., Ong, J., Rouet, F-H., Simons, T. & Zhu, T-T., 2019.

  Research output: Contribution to conference › Paper › peer-review

  • Jet engines
  • Computer aided engineering
  • Engines
  • Mechanical engineering
  • Physics
• 2017

  Strength Properties of Particulate Potassium-Based Geopolymer Composites: A Computational Study

  Kataruka, A., Guleryuz, E., Koric, S., M. Kriven, W. & Akono, A-T., Jun 7 2017.

  Research output: Contribution to conference › Paper › peer-review

  • Geopolymers
  • Potassium
  • Composite materials
  • Fillers
  • Analytical models

• Representative Elementary Volume Modeling of Geopolymer Composites

  Kataruka, A., Guleryuz, E., Koric, S., M. Kriven, W. & Akono, A-T., Jul 1 2017. 1 p.

  Research output: Contribution to conference › Paper › peer-review

• 2020

  Scalability Challenges of an Industrial Implicit Finite Element Code

  Rouet, F. H., Ashcraft, C., Dawson, J., Grimes, R., Guleryuz, E., Koric, S., Lucas, R. F., Ong, J. S., Simons, T. A. & Zhu, T. T., May 2020, Proceedings - 2020 IEEE 34th International Parallel and Distributed Processing Symposium, IPDPS 2020. Institute of Electrical and Electronics Engineers Inc., p. 505-514 10 p. 9139822. (Proceedings - 2020 IEEE 34th International Parallel and Distributed Processing Symposium, IPDPS 2020).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Linear algebra
  • Supercomputers
  • Factorization
  • Scalability
  • Engines

• Deep learning for topology optimization of 2D metamaterials

  Kollmann, H. T., Abueidda, D. W., Koric, S., Guleryuz, E. & Sobh, N. A., Nov 2020, In: Materials and Design. 196, 109098.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Metamaterials
  • Shape optimization
  • Deep learning
  • Elastic moduli
  • Poisson ratio
• 2017

  Molecular dynamics study on the mechanical and fracture properties of geopolymer binders

  Cui, Y., Guleryuz, E., Kriven, W., Koric, S. & Akono, A-T., Jun 26 2017.

  Research output: Contribution to conference › Paper › peer-review

  • Geopolymers
  • Molecular dynamics
  • Binders
  • Mechanical properties
  • Positive ions
• 2016

  Dislocation nucleation on Grain Boundaries: Low angle twist and asymmetric tilt boundaries

  Guleryuz, E. & Mesarovic, S. D., Jul 2016, In: Crystals. 6, 7, 77.

  Research output: Contribution to journal › Article › peer-review

  • Nucleation
  • Grain boundaries
  • nucleation
  • grain boundaries
  • Plasticity