Hybrid inverse design of photonic structures by combining optimization methods with neural networks
Over the past decades, classical optimization methods, including gradient-based topology
optimization and the evolutionary algorithm, have been widely employed for the inverse …
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
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 …
research and practical applications. In particular, we can manipulate light in a desired and …
Inverse design of transmission lines with deep learning
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 …
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 …
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 …
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 …
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 …
has remained mostly a manual task. There have been many attempts to algorithmically …