{"id":34,"date":"2012-01-03T22:36:55","date_gmt":"2012-01-04T03:36:55","guid":{"rendered":"https:\/\/coefs.charlotte.edu\/atabarra\/?page_id=34"},"modified":"2026-02-18T23:15:52","modified_gmt":"2026-02-19T04:15:52","slug":"publications","status":"publish","type":"page","link":"https:\/\/coefs.charlotte.edu\/atabarra\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"<!-- =========================================================\nPUBLICATIONS\n========================================================= -->\n\n\n<h1 class=\"wp-block-heading\">Publications<\/h1>\n\n\n\n<p>\nMy complete publication record is available on my\n<a href=\"https:\/\/scholar.google.de\/citations?hl=en&amp;user=-OwBidMAAAAJ&amp;view_op=list_works&amp;sortby=pubdate\">\nGoogle Scholar profile<\/a>.\nBelow 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.\n<\/p>\n\n\n\n<!-- =========================================================\nPREPRINTS\n========================================================= -->\n\n<h2 class=\"wp-block-heading\">Preprints<\/h2>\n\n\n\n<ol class=\"wp-block-list\">\n  <li>\n    <strong>Tabarraei, A.<\/strong> Stabilized Maximum-Likelihood Iterative Quantum Amplitude Estimation for Structural CVaR under Correlated Random Fields. <em>arXiv preprint<\/em>, 2026.\n  <\/li>\n  <li>\n    Lutheran, A., Das, S., <strong>Tabarraei, A.<\/strong> Transformer-based Topology Optimization. <em>arXiv preprint<\/em>, 2025.\n  <\/li>\n  <li>\n    <strong>Tabarraei, A.<\/strong>, Bhuiyan, S.A. Graph Neural Network-Based Topology Optimization for Self-Supporting Structures in Additive Manufacturing. <em>arXiv preprint<\/em>, 2025.\n  <\/li>\n  <li>\n    Lutheran, A., Das, S., <strong>Tabarraei, A.<\/strong> Latent Space Diffusion for Topology Optimization. <em>arXiv preprint<\/em>, 2025.\n  <\/li>\n<\/ol>\n\n\n\n<!-- =========================================================\nSELECTED JOURNAL ARTICLES\n========================================================= -->\n\n<h2 class=\"wp-block-heading\">Selected Journal Articles<\/h2>\n\n\n\n<ol class=\"wp-block-list\">\n  <li>\n    <strong>Tabarraei, A.<\/strong> Variational quantum latent encoding for topology optimization. <em>Engineering with Computers<\/em>, 2025.\n  <\/li>\n  <li>\n    Kona, A.A., Lutheran, A., <strong>Tabarraei, A.<\/strong> Mixed-Mode Fracture Behavior of Penta-Graphene: A Molecular Dynamics Perspective on Defect Sensitivity and Crack Evolution. <em>Solids<\/em>, 2025.\n  <\/li>\n  <li>\n    Haddadi, E., <strong>Tabarraei, A.<\/strong> Fracture Mechanics of Tetragraphene: Effects of Structural Variations and Loading Conditions. <em>C<\/em>, 2025.\n  <\/li>\n  <li>\n    Shishir, M.I.R., <strong>Tabarraei, A.<\/strong> Multi-materials topology optimization using deep neural network for coupled thermo-mechanical problems. <em>Engineering with Computers<\/em>, 2024.\n  <\/li>\n  <li>\n    Barzegar, A., Namnabat, M.S., Niyaee, F.N., <strong>Tabarraei, A.<\/strong> Linear and nonlinear buckling analysis of double-layer molybdenum disulfide by finite elements. <em>Finite Elements in Analysis and Design<\/em>, 2023.\n  <\/li>\n  <li>\n    Shishir, M.I.R., Elapolu, M.S.R., <strong>Tabarraei, A.<\/strong> A deep learning model for predicting mechanical properties of polycrystalline graphene. <em>Computational Materials Science<\/em>, 2023.\n  <\/li>\n  <li>\n    Elapolu, M.S.R., Shishir, M.I.R., <strong>Tabarraei, A.<\/strong> A novel approach for studying crack propagation in polycrystalline graphene using machine learning algorithms. <em>Computational Materials Science<\/em>, 2022.\n  <\/li>\n  <li>\n    Shishir, M.I.R., Elapolu, M.S.R., <strong>Tabarraei, A.<\/strong> Investigation of fracture and mechanical properties of monolayer C3N using molecular dynamic simulations. <em>Mechanics of Materials<\/em>, 2021.\n  <\/li>\n  <li>\n    Elapolu, M.S.R., <strong>Tabarraei, A.<\/strong> Mechanical and fracture properties of polycrystalline graphene with hydrogenated grain boundaries. <em>The Journal of Physical Chemistry C<\/em>, 2021.\n  <\/li>\n  <li>\n    Kulkarni, S.S., <strong>Tabarraei, A.<\/strong> An ordinary state based peridynamic correspondence model for metal creep. <em>Engineering Fracture Mechanics<\/em>, 2020.\n  <\/li>\n<\/ol>\n\n","protected":false},"excerpt":{"rendered":"<p>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 Tabarraei, &hellip; <a href=\"https:\/\/coefs.charlotte.edu\/atabarra\/publications\/\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":120,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"open","template":"","meta":{"footnotes":""},"class_list":["post-34","page","type-page","status-publish","hentry"],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/coefs.charlotte.edu\/atabarra\/wp-json\/wp\/v2\/pages\/34","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/coefs.charlotte.edu\/atabarra\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/coefs.charlotte.edu\/atabarra\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/coefs.charlotte.edu\/atabarra\/wp-json\/wp\/v2\/users\/120"}],"replies":[{"embeddable":true,"href":"https:\/\/coefs.charlotte.edu\/atabarra\/wp-json\/wp\/v2\/comments?post=34"}],"version-history":[{"count":5,"href":"https:\/\/coefs.charlotte.edu\/atabarra\/wp-json\/wp\/v2\/pages\/34\/revisions"}],"predecessor-version":[{"id":1167,"href":"https:\/\/coefs.charlotte.edu\/atabarra\/wp-json\/wp\/v2\/pages\/34\/revisions\/1167"}],"wp:attachment":[{"href":"https:\/\/coefs.charlotte.edu\/atabarra\/wp-json\/wp\/v2\/media?parent=34"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}