Neuromorphic Nanophotonics

This Collection supports and amplifies research related to SDG 9: Industry, Innovation & Infrastructure.

The emergence of neuromorphic computing represents a paradigm shift in the way we approach information processing and machine learning. By mimicking the architecture and function of the human brain, neuromorphic computing systems promise to deliver enhanced performance in tasks such as pattern recognition, sensory processing, and cognitive reasoning, all while consuming significantly less energy compared to traditional computing methods. Introducing nanophotonics into this field is particularly exciting, as it enables ultra-fast and energy-efficient data processing through light, allowing for dense integration of neuromorphic devices ranging from fan-in/out to computational elements and non-linear activation functions. The motivation for this Collection stems from the need to consolidate and showcase the latest advancements in neuromorphic nanophotonics, as researchers across disciplines are beginning to explore the synergistic potential of light-based neural networks and nanoscale photonic devices.

The scope of this Collection will encompass a wide array of topics involving nanophotonics, including innovative neuromorphic computing architectures/algorithms, material platforms for neuromorphic sensing & computing, neuromorphic nanophotonic devices for linear computations and non-linear activations, reconfigurable & programmable optoelectronic devices for visual perception, the design, fabrication, and large-scale integration of neuromorphic nanophotonic devices, the training and intelligent manipulation of nanophotonic systems, and applications in machine learning tasks.

Furthermore, we aim to highlight interdisciplinary approaches that draw on principles from materials science, optical engineering, and neuroscience to push the boundaries of neuromorphic computing.

By fostering dialogue among researchers, this Collection aspires to pave the way for breakthroughs in next-generation computing architectures that could revolutionize various applications, from artificial intelligence to data processing and beyond.