Hybrid Quantum-Classical Modeling Framework for Multiscale and Multiphysics Optimization of Nanotechnology-Driven Advanced Energy Systems

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dc.authoridYaşar, Cumali / 0000-0002-0065-3752
dc.contributor.authorMamut, Eden
dc.contributor.authorYaşar, Cumali
dc.contributor.authorAssanova, Baktygul
dc.date.accessioned2026-02-03T11:53:51Z
dc.date.available2026-02-03T11:53:51Z
dc.date.issued2025
dc.departmentÇanakkale Onsekiz Mart Üniversitesi
dc.description16th International Conference on Thermal Engineering: Theory and Applications, ICTEA 2025 -- 2025-06-18 through 2025-06-20 -- Bucharest -- 335839
dc.description.abstractRecent developments in quantum computing have triggered a paradigm shift extending from algorithmic theory to applied engineering fields, particularly in the modeling and optimization of complex energy systems. This study presents a hybrid quantum-classical computational framework designed for the multiscale and multiphysics modeling of nanotechnology-driven energy systems. The illustrative case involves a proton exchange membrane fuel cell (PEMFC) utilizing nanostructured materials, governed by electrochemical reactions, transport phenomena, degradation mechanisms, and adaptive control dynamics. The proposed framework integrates classical numerical solvers with quantum algorithms such as the Variational Quantum Eigensolver (VQE), Quantum Approximate Optimization Algorithm (QAOA), and Harrow-Hassidim-Lloyd (HHL) solver. A modular orchestration layer ensures data interoperability and coherence between quantum and classical components. This integration improves computational efficiency in high-dimensional, nonlinear problems and opens a path toward domain-specific quantum advantage in energy systems engineering. The results demonstrate the feasibility of incorporating quantum computing into classical modeling pipelines and suggest promising directions for future research in adaptive, scalable, and high-fidelity simulation environments.
dc.identifier.issue1
dc.identifier.scopus2-s2.0-105012357597
dc.identifier.scopusqualityQ4
dc.identifier.urihttps://hdl.handle.net/20.500.12428/34346
dc.identifier.volume1
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherToronto Metropolitan University
dc.relation.ispartofInternational Conference on Thermal Engineering
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20260130
dc.subjectenergy systems
dc.subjecthybrid architecture
dc.subjectmultiphysics optimization
dc.subjectmultiscale modeling
dc.subjectnanotechnology
dc.subjectQuantum computing
dc.subjectquantum-classical integration
dc.titleHybrid Quantum-Classical Modeling Framework for Multiscale and Multiphysics Optimization of Nanotechnology-Driven Advanced Energy Systems
dc.typeConference Object

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