About this Abstract |
| Meeting |
2026 TMS Annual Meeting & Exhibition
|
| Symposium
|
Advances in Magnetism and Magnetic Materials
|
| Presentation Title |
Adaptive Magnetic Thin Films with AI-Driven Control for Smart Vehicle Interfaces |
| Author(s) |
Hyo-Soo Lee, Taehoon Park, Jae-Woong Lee, Hai-Joong Lee |
| On-Site Speaker (Planned) |
Hyo-Soo Lee |
| Abstract Scope |
This study presents an adaptive magnetic thin film system with AI-driven control for real-time visual signaling in vehicle interiors. The system consists of micrometer-scale magnetophoretic films embedded with magnetic nanoparticles, laminated onto flexible solenoid-based pixel arrays. External energy inputs allow programmable magnetic responses to form dynamic patterns and symbols.
An integrated AI algorithm analyzes real-time driving data from vehicle sensors—such as cameras, radar, and navigation systems—to detect safety-critical situations, including collision risks or road hazards. In response, the system displays intuitive warning signals or guidance icons, enhancing passenger awareness without traditional screens.
Magnetic field imaging and optical techniques were employed to optimize temporal resolution and responsiveness. The system’s low energy consumption, reconfigurable surface design, and mechanical flexibility make it well-suited for future mobility applications. This work aligns with current trends in functional magnetic thin films, intelligent actuator materials, and AI-enhanced magnetic systems for smart transportation environments. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Magnetic Materials, Thin Films and Interfaces, Other |