PHYSGEN: A Physics-Constrained Framework for Generative Thermal Structure Optimization
PHYSGEN is a physics-constrained framework for generative thermal structure optimization. The framework integrates generative modeling, physical constraint enforcement, and optimization-driven evaluation within a unified architecture. A mathematical formulation is presented to guide candidate solutions toward physically feasible regions of the design space while preserving optimization efficiency. The proposed methodology provides a foundation for future research in physics-guided generative design, scientific machine learning, topology optimization, inverse design, and engineering applications involving thermal systems and constrained optimization.
Authors
- Beger Verdiev (ORCID: https://orcid.org/0009-0007-4484-8598)
- Arsen Verdiev
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-06-18
- DOI
- https://doi.org/10.5281/zenodo.20740558
- Primary Topic
- Topology Optimization in Engineering
- Type
- article
- Field-Weighted Citation Impact
- 0.00