Neuromorphic Photonic Devices and Applications 1st Edition

Neuromorphic Photonic Devices and Applications, 1st Edition by Min Gu, Elena Goi, Yangyundou Wang, Zhengfen Wan, Yibo Dong, Yuchao Zhang, and Haoyi Yu

Discover a forward-looking resource that bridges optics, neuroscience-inspired computing, and practical engineering. This authoritative first edition presents a clear, hands-on exploration of neuromorphic photonic devices and their transformative applications in high-speed computing, sensing, and communications. Ideal for researchers, graduate students, and industry engineers, the book translates complex physics and device design into actionable insight for real-world systems.

Begin with accessible overviews of core concepts—optical neurons, spiking photonic circuits, reservoir computing, and optical memory—then move into in-depth chapters on materials, integration strategies, device architectures, and fabrication challenges. The authors blend theoretical foundations with experimental results and design guidelines, making it an essential reference for anyone building next-generation photonic computing platforms or exploring optical neural networks and edge-AI hardware.

Highlighting regional and global relevance, the text addresses deployment scenarios across data centers, telecommunications hubs, autonomous vehicles, and biomedical imaging centers from Asia and Europe to North America. Case studies show how neuromorphic photonics can dramatically accelerate inference, lower latency, and reduce energy consumption compared with electronic approaches.

Whether you’re advancing academic research or developing commercial prototypes, this book equips you with the vocabulary, methods, and vision to lead in a rapidly evolving field. Add this vital volume to your technical library today and join the global movement toward faster, more efficient neuromorphic photonic systems.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.