Photonics for Neuromorphic Computing: Fundamentals, Devices, and Opportunities
R Li, Y Gong, H Huang, Y Zhou, S Mao… - Advanced …, 2025 - Wiley Online Library
In the dynamic landscape of Artificial Intelligence (AI), two notable phenomena are
becoming predominant: the exponential growth of large AI model sizes and the explosion of …
becoming predominant: the exponential growth of large AI model sizes and the explosion of …
Smart and rapid design of nanophotonic structures by an adaptive and regularized deep neural network
The design of nanophotonic structures based on deep learning is emerging rapidly in the
research community. Design methods using Deep Neural Networks (DNN) are …
research community. Design methods using Deep Neural Networks (DNN) are …
POViT: vision transformer for multi-objective design and characterization of photonic crystal nanocavities
We study a new technique for solving the fundamental challenge in nanophotonic design:
fast and accurate characterization of nanoscale photonic devices with minimal human …
fast and accurate characterization of nanoscale photonic devices with minimal human …
Exploring high-performance slow light grating waveguides by means of deep learning
H Jiang, J Chen, K Tang, H Yan… - IEEE Photonics …, 2022 - ieeexplore.ieee.org
The geometric parameters of periodic units, which influence the refractive/reflective
behaviors of grating waveguides, are usually designed using intuition combined with …
behaviors of grating waveguides, are usually designed using intuition combined with …
Predicting strongly localized resonant modes of light in disordered arrays of dielectric scatterers: a machine learning approach
In this work, we predict the most strongly confined resonant mode of light in strongly
disordered systems of dielectric scatterers employing the data-driven approach of machine …
disordered systems of dielectric scatterers employing the data-driven approach of machine …
High-Q Silicon Photonic Crystal Ring Resonator Based on Machine Learning
We propose and demonstrate a silicon-based photonic crystal ring resonator (PCRR) with a
high quality (Q) factor based on machine learning. The elliptical optimization of the key holes …
high quality (Q) factor based on machine learning. The elliptical optimization of the key holes …
From English to PCSEL: LLM helps design and optimize photonic crystal surface emitting lasers
Conventional design and optimization of Photonic Crystal Surface Emitting Lasers (PCSEL)
usually requires expert knowledge in semiconductor physics and optimization algorithms …
usually requires expert knowledge in semiconductor physics and optimization algorithms …
Deep learning improves performance of topological bending waveguides
I Sakamoto, S Okada, N Nishiyama, X Hu… - Optics …, 2024 - opg.optica.org
This study introduced design informatics using deep learning in a topological photonics
system and applied it to a topological waveguide with a sharp bending structure to further …
system and applied it to a topological waveguide with a sharp bending structure to further …
ANN-based estimation of dispersion characteristics of slotted photonic crystal waveguides
In this paper, the dispersion characteristics of slotted photonic crystal waveguides (SPCWs)
have been estimated for any arbitrary set of structural parameters using machine learning …
have been estimated for any arbitrary set of structural parameters using machine learning …
Deep Learning-Optimized, Fabrication Error-Tolerant Photonic Crystal Nanobeam Cavities for Scalable On-Chip Diamond Quantum Systems
S van Haagen, S Nur, R Ishihara - arxiv preprint arxiv:2502.03987, 2025 - arxiv.org
Cavity-enhanced diamond color center qubits can be initialized, manipulated, entangled,
and read individually with high fidelity, which makes them ideal for large-scale, modular …
and read individually with high fidelity, which makes them ideal for large-scale, modular …