Year: 2024
Type: article
Abstract: Quasi-3D plasmonic nanostructures are in high demand for their ability to manipulate and enhance light-matter interactions at subwavelength scales, making them promising building blocks for diverse nanophotonic devices. Despite their potential, the integration of these nanostructures with optical sensors and imaging systems on a large scale poses challenges. Here, a robust technique for the rapid, scalable, and seamless replication of quasi-3D plasmonic nanostructures is presented straight from their production wafers using a microbubble process. This approach not only simplifies the integration of quasi-3D plasmonic nanostructures into a wide range of standard and custom optical imaging devices and sensors but also significantly enhances their imaging and sensing performance beyond the limits of conventional methods. This study encompasses experimental, computational, and theoretical investigations, and it fully elucidates the operational mechanism. Additionally, it explores a versatile set of options for outfitting nanophotonic devices with custom-designed plasmonic nanostructures, thereby fulfilling specific operational criteria.
Source: Advanced Science
Institutions: Purdue University West Lafayette, Korea Photonics Technology Institute, University of Virginia, Hongik University, Hanyang University, United States Air Force Research Laboratory, Wright-Patterson Air Force Base, U.S. Air Force Research Laboratory Materials and Manufacturing Directorate, U.S. Air Force Research Laboratory Sensors Directorate, Wright Laboratory
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $6,120
Awards: G1677496959, G1696507912, G2854871432, Collaborative Research: Wafer-Scale, Defect-Free Assembly of Three-Dimensional Plasmonic Nanoarchitectures, G3138975899, G3265400442, Chemomechanics of Thin Film Detachment in Liquid-Assisted Transfer Printing, G6054231253, G6862193580, G7631769047, G8708362556
OpenAlex ID: W4402206650
