FRET Networks: Modeling and Analysis for Computing

Abstract

AbstractFRET networks, which refer to energy transfer networks between nanoparticles due to Förster resonance energy transfer (FRET), are promising physical phenomena for realizing high-speed, efficient, and compact information processing. These networks can generate rich spatiotemporal signals that help in information processing and are capable of function approximation, time-series prediction, and pattern recognition. This chapter presents a mathematical model and analysis for FRET networks, including some simulation methods for the model, and demonstrates the power of FRET networks for information processing.