This technology utilizes metal nanocrystals as spectroscopic tags for high-sensitivity Raman mapping, allowing for molecular-level analysis of adhesion properties. It aims to provide a new metric for adhesion quality using AI/ML for data interpretation.
This innovative technology harnesses metal nanocrystals as spectroscopic tags to enable high-sensitivity Raman mapping for analyzing adhesion properties at the molecular level. By generating surface-enhanced Raman spectroscopy (SERS) data, this approach provides chemical-specific insights into interfacial interactions, aiming to improve the understanding and measurement of adhesion quality. The integration of AI and machine learning for image analysis further enhances the accuracy and interpretability of the results, potentially surpassing traditional low-throughput adhesion testing methods.
Currently at TRL 2, this technology is in the early stages of development. Future validation plans include a one-year study to evaluate the effectiveness of spectral mapping as a reliable metric for adhesion quality. The research seeks partnerships for support in traditional adhesion testing, materials sampling, and funding for further development.
UC San Diego is a comprehensive public research university in La Jolla, anchored by an integrated academic health system. On the east campus, the 23‑acre Science Research Park co‑locates corporate R&D with university programs and connects to the health sciences district, enabling daily interaction among scientists, clinicians, and companies. The Jacobs School’s Corporate Affiliates Program provides structured engagement and recruiting, while the Office of Innovation & Commercialization supports IP, licensing, and startup formation. The research enterprise is sustained by competitive federal funding, with recent awards exceeding $1.7B annually. Established commercialization pathways streamline sponsored research and help partners move from proof of concept to deployment.