A dynamic convergence between metaphotonics and artificial intelligence (AI) is underway.
In this review, AI is conceptualized as a tool for mapping input and output data. From this …

Silicon photonics arises as a viable solution to address the stringent resource demands of
emergent technologies, such as neural networks. Within this framework, photonic memories …

Using photons in lieu of electrons to process information has been an exciting technological
prospect for decades. Optical computing is gaining renewed enthusiasm, owing to the …

As a phase change material (PCM), antimony exhibits a set of desirable properties that
make it an interesting candidate for photonic memory applications. These include a large …

The artificial brain is conceived as advanced intelligence technology, capable to emulate in‐
memory processes occurring in the human brain by integrating synaptic devices. Within this …

Phase change materials (PCMs) have gained a tremendous interest as a means to actively
tune nanophotonic devices through the large optical modulation produced by their …

This paper introduces an innovative photonic crystal device that amalgamates a low cross-
talk GaAs waveguide intersection with a ring employing phase change material (PCM) for …

Integrated photonic neuromorphic computing has emerged as an appealing technology to
replicate human brain functionalities by leveraging the benefits of integrated photonics. In …

摘要从材料, 集成工艺, 器件和网络4 个方面回顾了硫基相变材料及其集成器件与集成存内计算
光网络的研究进展, 聚焦于材料损耗, 器件性能, 大规模集成工艺和网络可扩展性问题 …

A Sb_2S_3-based reconfigurable diffractive optical neural network (RDONN) for on-chip
integration is proposed. The RDONN can be integrated into standard silicon-on-insulator …