Understanding and Modeling Förster-type Resonance Energy Transfer (FRET)
This Brief presents a complete study of the generalized theory of Förster-type energy transfer in nanostructures with mixed dimensionality. Here the aim is to obtain a generalized theory of FRET including a comprehensive set of analytical equations for all combinations and configurations of nanostructures and deriving generic expressions for the dimensionality involved. In this brief, the modification of FRET mechanism with respect to the nanostructure serving as the donor vs. the acceptor will be included, focusing on the rate's distance dependency and the role of the effective dielectric function in FRET, which will be a unique, useful source for those who study and model FRET. Dr. Pedro Ludwig Hernandez Martinez is a Research Scientist at LUMINOUS! Center of Excellence for Semiconductor Lighting and Displays at the Nanyang Technological University in Singapore. His research interests include Nanoscience and Nanotechnology including Plasmonics and Semiconductors. Dr. Alexander O. Govorov is a Professor in the Department of Physics and Astronomy at Ohio University in Athens, USA. He obtained his PhD from the Institute of Semiconductor Physics in Russia and later was a Humboldt Fellow at Munich University. His research interests include Theoretical Condensed Matter Physics, Physics of semiconductor nanostructures, optical and transport phenomena, many-body effects, quantum phenomena, nanoscience. Dr. Hilmi Volkan Demir is a professor of electrical engineering and physics. He is an NRF Fellow of Singapore and NANYANG Associate Professor at NTU Singapore, and serves as the Founding Director of LUMINOUS! Center of Excellence for Semiconductor Lighting and Displays. Concurrently, he is the EURYI Associate Professor at Bilkent University and UNAM - National Nanotechnology Research Center of Turkey. ). His current research interests include the science and technology of nanocrystal optoelectronics for semiconductor lighting; excitonics and plasmonics for high-efficiency light generation and harvesting; and wireless in vivo sensing and smart implants for future healthcare.
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