TY - SER AU - Yao,Jianping AU - Capmany,Jose AU - Yao,Jianping ED - SpringerLink (Online service) TI - PhotoniX Synergy SN - 3120-4325 CY - Singapore PB - Springer Nature Singapore, Imprint: Springer. KW - Photonics KW - Optical engineering KW - Telecommunication KW - Quantum optics KW - Optics KW - Condensed matter KW - Physics KW - Photonics and Optical Engineering KW - Microwaves, RF Engineering and Optical Communications KW - Quantum Optics KW - Optics and Photonics KW - Condensed Matter Physics KW - Applied and Technical Physics N2 - PhotoniX Synergy is a journal dedicated to advancing photonic integration, including hybrid and heterogeneous, bridging cutting-edge materials, devices, and system-level applications. The journal emphasizes synergy in photonics, where the integration of diverse platforms, such as silicon photonics, lithium niobate, and III-V semiconductors, enables functionalities beyond the reach of any single technology. By combining high-speed electro-optic modulation (LiNbO₃), efficient light generation (InP), and scalable fabrication (SiPh), synergistic integration unlocks breakthroughs in communications, sensing, bioimaging, and radar. The scope also covers emerging paradigms like meta-chips, 2D material heterostructures, and AI-driven photonic design, fostering interdisciplinary innovation. PhotoniX Synergy uniquely prioritizes system-level co-integration, benchmarking real-world performance, and industry-academia collaboration, ensuring relevance from lab to market. By addressing the full stack, from novel materials to scalable fabrication and end-use applications, the journal will catalyze the next wave of photonic technologies, where integration is not just a method but a multiplier of capabilities. List of Topics (Including but not limited to) • Photonic integrated circuits • Silicon photonics • Hybrid and heterogeneous photonic integration • 3D photonic integration • Integrated quantum photonics • Integrated microwave photonics • AI-driven design and optimization of photonic integrated circuits • Emerging materials for photonic integration • New fabrication techniques • Photonic integrated circuits for optical computing and AI • Photonic integrated circuits for communications • Photonic integrated circuits for sensing and imaging • Photonic chip modelling and characterization UR - http://link.springer.com/journal/44519 ER -