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• 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
• 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

• 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

• 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

• 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
• 2018

  Convergence analyses for fluid-structure interaction simulation in a thin hyper-elastic pipe

  Lu, Q., Guleryuz, E., Vellakal, M., Taha, A., Koric, S. & Cordoba, P., 2018.

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

  • Fluid structure interaction
  • Data transfer
  • Pipe
  • Fluids
  • Geometry

• Convergence Analyses for Fluid-Structure Interaction Simulation in a Thin Hyper-elastic Pipe

  Lu, Q., Guleryuz, E., Vellakal, M., Taha, A., Koric, S. & Cordoba, P., 2018. 14 p.

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

  • Fluid structure interaction
  • Data transfer
  • Pipe
  • Fluids
  • Geometry
• 2020

  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

• 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

• 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