Hyunsung TNC Co., Ltd. has officially filed a patent on December 19, 2025, for its core technology applied to the company’s AI-based superconductor design platform SuperMatics™.The patent, titled “Superconductor Composition Design Algorithm Based on the Modulated Electronic Lattice (MEL) Model” (Application No. 10-2025-0204191), represents a significant milestone in the evolution of superconductor development.
This patent application marks a turning point in the field, shifting the traditional “experimental discovery–driven” approach to a new paradigm where AI predicts and humans verify within a design-driven development model.
Key Features of the Patented Technology
The technology implemented within SuperMatics includes the following features:
• Application of the MEL (Modulated Electronic Lattice) Theory
It quantifies electron density modulation patterns inside a superconductor and provides a mathematical and simulation-based prediction of the conditions under which superconductivity emerges.
• Automatic Generation and Screening of Candidate Compositions
The AI engine generates hundreds of thousands to millions of composition combinations and rapidly filters candidates that meet specific superconducting criteria.
• Tc Prediction Model Using Electronic Structure Analysis
By analyzing electron density, modulation parameters (Q, A), and interface effects, the algorithm quantitatively evaluates the probability of superconductivity.
Integrated Platform Roadmap Including Future Manufacturing Processes
SuperMatics is planned to expand beyond the design phase into a fully integrated system that connects directly to manufacturing workflows.
The platform will form a complete “AI → Manufacturing” pipeline that seamlessly links AI-generated composition and lattice data to the actual processes of mixing, sintering, heat treatment, thin-film fabrication, and subsequent analysis (SEM, XRD, STS).
Design-stage recommendations for manufacturing conditions—such as temperature profiles, oxygen atmosphere, and pressure—will be provided automatically.
Experimental results will be fed back into SuperMatics, enabling a continuous feedback loop that refines the platform through self-learning.
Through this integration, Hyunsung TNC aims to establish a new standard in superconductor development where research, design, manufacturing, and verification operate within a single pipeline.
Impact and Expected Value
Opening the Era of “Design-Driven Superconductor Development”
This patent marks the beginning of a shift away from chance-based experimental discovery toward a predictable, engineering-driven development model.It signifies the transition in the superconductor industry from scientific discovery to systematic design engineering.
Positioning SuperMatics as the AlphaFold of the Superconductor Industry
Just as AlphaFold transformed the way protein structures are predicted in life sciences, SuperMatics is poised to introduce a new paradigm in superconductors—from prediction → to synthesis → to verification.
The platform:
directly designs superconductor candidates,
computes optimal manufacturing conditions, and
continuously improves through experimental feedback as a self-learning design engine.
SuperMatics is expected to serve as a central development tool for both high-temperature superconductors and future room-temperature superconductors.
Hyunsung TNC believes that the future of superconductor research lies in the convergence of precision design, computational prediction, and integrated manufacturing data.Beginning with this patent application, the technological scope of the SuperMatics platform will continue to expand, establishing a new benchmark for the global superconductor industry.
For further inquiries, please contact the Hyunsung TNC IR Team.
