Executive Development Programme in Plasmonic Nanophotometry
-- ViewingNowThe Executive Development Programme in Plasmonic Nanophotometry is a certificate course designed to provide learners with essential skills in this cutting-edge field. Plasmonic nanophotometry is a rapidly growing area of research and development, with applications in fields such as biomedical sensing, renewable energy, and data storage.
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⢠Fundamentals of Plasmonic Nanophotometry: An overview of plasmonic nanophotometry, including basic principles, concepts, and techniques. This unit will cover surface plasmons, localized surface plasmons, and their interactions with light.
⢠Plasmonic Materials and Structures: An in-depth study of materials and structures commonly used in plasmonic nanophotometry, such as gold and silver nanoparticles, metal films, and nanohole arrays. This unit will also discuss fabrication techniques and characterization methods.
⢠Linear and Nonlinear Spectroscopy: An exploration of linear and nonlinear spectroscopic techniques used in plasmonic nanophotometry. Topics will include absorption spectroscopy, scattering spectroscopy, surface-enhanced Raman spectroscopy (SERS), and coherent anti-Stokes Raman scattering (CARS).
⢠Plasmonic Sensing and Imaging: An examination of plasmonic sensing and imaging techniques, including surface plasmon resonance (SPR), plasmon-enhanced fluorescence, and dark-field microscopy. This unit will also discuss applications in biosensing, chemical sensing, and material characterization.
⢠Nanophotonic Devices and Systems: A review of plasmonic nanophotonic devices and systems, such as nanolasers, waveguides, and metamaterials. This unit will cover design, simulation, and optimization techniques for these devices.
⢠Applications in Energy and Environment: An exploration of plasmonic nanophotometry applications in energy and the environment. Topics will include solar cells, photocatalysis, and environmental monitoring.
⢠Applications in Biomedicine: A review of plasmonic nanophotometry applications in biomedicine, including biosensors, drug delivery, and medical imaging. This unit will also discuss recent advances and challenges in these areas.
⢠Data Analysis and Machine Learning
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