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R. Podorozhny

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#machine learning Preprint Sep 2026

Physics-Informed Neural Network Surrogate for Oxygen Vacancy Dynamics in epitaxial $\mathrm{SrTiO_3}$ on Si memristors via Dynamic Spectral Optimization

A cascaded PINN architecture coupled with a custom second-order Chebyshev second kind polynomial spectral optimizer (DSO V2 Hybrid) to model ion-electronic drift-diffusion transport in Pt/SrTiO/Si memristive heterostructures across a 20 nm STO film on a 380 $\mu$m Si substrate.

R. Podorozhny, Nikoleta Theodoropoulou, Jelena Tešić · 0 citations
Book Open access Jul 2026

Requirement-Guided Test-Driven Development for Modular Code Generation with Large Language Model

A test-driven pipeline is presented that extracts functional requirements (FR) from a problem description, resolves dependencies, maps them into a modular Model-View-Controller (MVC) structure, and generates tests before code, followed by bounded, execution-driven refinement.

Wasay Mohammed Abdul, Ragib Shahariar Ayon, Shibbir Ahmed et al. · 0 citations

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