Hybrid inverse design of photonic structures by combining optimization methods with neural networks

L Deng, Y Xu, Y Liu - Photonics and Nanostructures-Fundamentals and …, 2022 - Elsevier
Over the past decades, classical optimization methods, including gradient-based topology
optimization and the evolutionary algorithm, have been widely employed for the inverse …

Interfacing photonics with artificial intelligence: an innovative design strategy for photonic structures and devices based on artificial neural networks

Y Xu, X Zhang, Y Fu, Y Liu - Photonics Research, 2021 - opg.optica.org
Over the past decades, photonics has transformed many areas in both fundamental
research and practical applications. In particular, we can manipulate light in a desired and …

Inverse design of transmission lines with deep learning

K Roy, MA Dolatsara, HM Torun… - 2019 IEEE 28th …, 2019 - ieeexplore.ieee.org
Design of microwave structures and tuning parameters have mostly relied on the domain
expertise of circuit designers by doing many simulations, which can be prohibitively time …

High‐dimensional Bayesian optimization for metamaterial design

Z Tian, Y Yang, S Zhou, T Zhou, K Deng… - Materials Genome …, 2024 - Wiley Online Library
Metamaterial design, encompassing both microstructure topology selection and geometric
parameter optimization, constitutes a high‐dimensional optimization problem, with …

[PDF][PDF] and Applications

G Dong, Z Shen, MRABW Frames - IAS Lecture Notes Series, Summer …, 2010 - Citeseer
Contrast Data Mining: Methods and Applications Page 1 Contrast Data Mining: Methods and
Applications James Bailey, NIC T A Victoria Laboratory and The University of Melbourne …

The Sigma-Max System Induced from Randomness and Fuzziness

W Mei, M Li, Y Cheng, L Liu - arXiv preprint arXiv:2110.07722, 2021 - arxiv.org
This paper managed to induce probability theory (sigma system) and possibility theory (max
system) respectively from randomness and fuzziness, through which the premature theory of …

Developing a Generative Design Framework for Optimising Public Transit Network Planning

KC Wong - 2022 - search.proquest.com
Despite the plethora of tools and data available to transit planners, transit network design
has remained mostly a manual task. There have been many attempts to algorithmically …