Publications

Publications

My complete publication record is available on my Google Scholar profile. Below is a curated selection of recent preprints and peer-reviewed journal articles highlighting ongoing work in computational mechanics, topology optimization, fracture, uncertainty quantification, and quantum-enhanced modeling.

Preprints

  1. Tabarraei, A. Stabilized Maximum-Likelihood Iterative Quantum Amplitude Estimation for Structural CVaR under Correlated Random Fields. arXiv preprint, 2026.
  2. Lutheran, A., Das, S., Tabarraei, A. Transformer-based Topology Optimization. arXiv preprint, 2025.
  3. Tabarraei, A., Bhuiyan, S.A. Graph Neural Network-Based Topology Optimization for Self-Supporting Structures in Additive Manufacturing. arXiv preprint, 2025.
  4. Lutheran, A., Das, S., Tabarraei, A. Latent Space Diffusion for Topology Optimization. arXiv preprint, 2025.

Selected Journal Articles

  1. Tabarraei, A. Variational quantum latent encoding for topology optimization. Engineering with Computers, 2025.
  2. Kona, A.A., Lutheran, A., Tabarraei, A. Mixed-Mode Fracture Behavior of Penta-Graphene: A Molecular Dynamics Perspective on Defect Sensitivity and Crack Evolution. Solids, 2025.
  3. Haddadi, E., Tabarraei, A. Fracture Mechanics of Tetragraphene: Effects of Structural Variations and Loading Conditions. C, 2025.
  4. Shishir, M.I.R., Tabarraei, A. Multi-materials topology optimization using deep neural network for coupled thermo-mechanical problems. Engineering with Computers, 2024.
  5. Barzegar, A., Namnabat, M.S., Niyaee, F.N., Tabarraei, A. Linear and nonlinear buckling analysis of double-layer molybdenum disulfide by finite elements. Finite Elements in Analysis and Design, 2023.
  6. Shishir, M.I.R., Elapolu, M.S.R., Tabarraei, A. A deep learning model for predicting mechanical properties of polycrystalline graphene. Computational Materials Science, 2023.
  7. Elapolu, M.S.R., Shishir, M.I.R., Tabarraei, A. A novel approach for studying crack propagation in polycrystalline graphene using machine learning algorithms. Computational Materials Science, 2022.
  8. Shishir, M.I.R., Elapolu, M.S.R., Tabarraei, A. Investigation of fracture and mechanical properties of monolayer C3N using molecular dynamic simulations. Mechanics of Materials, 2021.
  9. Elapolu, M.S.R., Tabarraei, A. Mechanical and fracture properties of polycrystalline graphene with hydrogenated grain boundaries. The Journal of Physical Chemistry C, 2021.
  10. Kulkarni, S.S., Tabarraei, A. An ordinary state based peridynamic correspondence model for metal creep. Engineering Fracture Mechanics, 2020.