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Author

A. Sadeghi

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Open access 2026

Physics-Guided Active Learning and Geometry-Aware Electrothermal Screening of Semiconductor Devices: A GaN Case Study

Exploring high-dimensional semiconductor device design spaces under coupled electrothermal constraints remains challenging, particularly in 3-D heterogeneous systems with tightly coupled electrical, thermal, and integration requirements. Conventional TCAD-driven exploration is physically accurate but computationally ex...

A. Sadeghi, Leonid Popryho, Inna Partin-Vaisband · 0 citations
#machine learning Preprint Sep 2026

Mesh-Native Physics-Informed Graph Surrogates for TCAD-in-the-Loop Design Space Exploration

A physics-informed graph attention network (GAT) surrogate is proposed, which operates directly on the tetrahedral TCAD mesh and predicts, at every mesh node, the electrostatic potential together with the electron and hole quasi-Fermi levels, the fundamental unknowns of the drift-diffusion system.

Leonid Popryho, A. Sadeghi, Inna Partin-Vaisband · 0 citations

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