Advances in Thin Film Sensor Technologies: Materials Design and Applications
This technical session highlights cutting-edge developments in thin film sensor technologies, with a focus on the interplay between novel functioning materials, innovative design strategies, and impactful real-world applications. As sensing demands grow across diverse sectors—from healthcare and environmental monitoring to industrial automation and wearable electronics—thin film-based sensors have emerged as a powerful platform for achieving high sensitivity, selectivity, and integration in compact form factors.
Contributions to this session will explore advances in functional thin film materials, including nanostructured, hybrid, and two-dimensional systems; breakthroughs in deposition techniques and micro/nanofabrication; and the engineering of sensor architectures optimized for performance and reliability. Particular emphasis is placed on interdisciplinary approaches that combine materials science, nano-photonics, optoelectronics, electronics, and data-driven techniques to push the limits of sensing performance. Researchers and technologists from academia, industry, and government are encouraged to share innovations, challenges, and future directions in this rapidly evolving field.
This session will welcome contributions on, but not limited to, the following topics:
- Advanced Sensing Materials: Novel nanostructured, hybrid, and 2D thin films,
- Deposition and Fabrication: Innovations in thin film growth and micro/nano-processing,
- Sensor Design and Integration: Compact, robust, and multifunctional architectures,
- Interdisciplinary Approaches: Merging materials, photonics, and electronics,
- Smart Sensing Systems: AI/ML-enhanced data processing and analytics, and
- Application Highlights: Use cases in health, environment, industry, and wearables.
Advances in Thin Film Sensor Technologies: Materials Design and Applications TAC Chairs: Jason Hrebik, Kurt J. Lesker Company, jasonh@lesker.com; Jacob Lee, University of Texas at Arlington, seunghyun.lee@uta.edu; Binbin Weng, University of Oklahoma, binbinweng@ou.edu