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Design of CMOS LNA with the Inversion Coefficient

2018 16th IEEE International New Circuits and Systems Conference (NEWCAS), 2018
The design space of two 130 nm CMOS Low Noise Amplifiers (LNA) is explored with the EKV model. More specifically the gain, the noise figure and the input impedance are described with the Inversion Coefficient. This approach allows to work out the relevant sizing and bias conditions for each LNA topology.
Gabrielle Guitton   +3 more
openaire   +1 more source

Constraining inverse stefan design problems

ZAMP Zeitschrift f�r angewandte Mathematik und Physik, 1996
A new formulation possessing stable numerical characteristics is presented for inverse Stefan design processes. In such processes, the goal is to design transient boundary conditions which produce the desired interfacial surface motion. This subclass of mildly ill-posed mathematical problems is amenable to the proposed solution methodology.
openaire   +2 more sources

Deep Learning in Mechanical Metamaterials: From Prediction and Generation to Inverse Design

Advanced Materials, 2023
Ikumu Watanabe   +2 more
exaly  

Deep learning in nano-photonics: inverse design and beyond

Photonics Research, 2021
Peter R Wiecha   +2 more
exaly  

Deep inverse photonic design: A tutorial

Photonics and Nanostructures - Fundamentals and Applications, 2022
Yang Deng   +3 more
openaire   +1 more source

Inverse Aircraft Design

AIAA AVIATION 2020 FORUM, 2020
Jonathan Gibbs, Volker Gollnick
openaire   +1 more source

Benchmarking deep learning-based models on nanophotonic inverse design problems

Opto-Electronic Science, 2022
L Jay Guo, Haozhu Wang
exaly  

End‐to‐end nanophotonic inverse design for imaging and polarimetry

Nanophotonics, 2021
Raphaël Pestourie   +2 more
exaly  

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