Deadline Date: 30 Septmeber 2026
This special issue focuses on the computational modeling and simulation of optoelectronic systems for advanced information processing, with particular emphasis on synaptic devices. Fueled by recent advances in optical technologies, computing methods, and simulation techniques, optoelectronic synaptic devices are emerging as a powerful solution to meet the growing demands of high-speed, energy-efficient, and scalable computing. These devices offer benefits such as high bandwidth, low resistance-capacitance delay, reduced energy consumption, and the capability for parallel neural control, making them highly suitable for future information systems and environmental sensing.
The integration of optoelectronic materials and technologies—such as semiconductor-nanotube composites and bacteriorhodopsin analogues—demonstrates promise in applications ranging from neuromorphic computing to quantum information processing. With growing concerns around power consumption and interconnection bottlenecks in data-intensive tasks, optics and optoelectronics offer a scalable and environmentally sustainable pathway forward.
This issue invites submissions addressing innovative designs, simulation frameworks, signal processing techniques, and proof-of-concept studies that leverage machine learning, soft computing, and multi-physics modeling. Contributions that explore both fundamental and application-oriented perspectives—particularly those aimed at scalable, sustainable technologies—are especially welcome. The overarching goal is to push forward the development of next-generation optoelectronic synaptic systems for intelligent, energy-aware computing and sensing applications.
This special issue focuses on the computational modeling and simulation of optoelectronic systems for advanced information processing, with particular emphasis on synaptic devices. Fueled by recent advances in optical technologies, computing methods, and simulation techniques, optoelectronic synaptic devices are emerging as a powerful solution to meet the growing demands of high-speed, energy-efficient, and scalable computing. ... show more
Editorial board
