Measuring and improving adaptive capacity in resilient systems by means of an integrated DEA-Machine learning approach

V Salehi, B Veitch, M Musharraf - Applied ergonomics, 2020 - Elsevier
Resilient systems strive to enhance the safety of complex systems through building and
developing adaptive technological and organizational capacities. This study aims at …

Magnet-less circulator using AlN MEMS filters and CMOS RF switches

C Xu, G Piazza - Journal of Microelectromechanical Systems, 2019 - ieeexplore.ieee.org
A circulator with three ports allows unidirectional (or non-reciprocal) power transmission and
facilitates the development of in-band full duplexers for simultaneous transmit and receive …

Neural Network-Aided Spurious Modes Optimization Targeting Lithium Niobate MEMS Resonators

L Colombo, L Baldesi, T Melodia… - 2022 IEEE/MTT-S …, 2022 - ieeexplore.ieee.org
This work reports on the implementation of a neural network (NN) feature selection
technique to identify the design features that impact the rise of spurious modes in high …

ANOVA Investigation of Neural Network Guided Spurious Modes Reduction in Lithium Niobate MEMS Resonators

R Tetro, L Colombo… - … Joint Conference of …, 2023 - ieeexplore.ieee.org
In this work, X-cut Lithium Niobate MEMS resonators are fabricated and tested to further
identify and confirm the impact of design features on the rise of spurious modes. Building …

Active boost in the quality factor of an AlN MEMS resonator up to 165,000

C Xu, G Piazza - 2019 IEEE 32nd International Conference on …, 2019 - ieeexplore.ieee.org
This work reports a method to boost the quality factor (Q, defined as the ratio of the resonant
frequency to the 3-dB bandwidth) of a 55 MHz AlN MEMS contour-mode resonator (CMR) …

Spurious Modes Metric Definition for Machine Learning Aided MEMS Design

L Colombo, M Ceran, M Rinaldi - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
This work reports on a novel metric to assess the severity of in-band spurious modes in high
performance microelectromechanical acoustic resonators. Different approaches are …

Neural Network Assisted 3D FBAR Modeling With Random Electrode Shapes

X He, XHM Tan, M Chen, F Huang… - 2024 IEEE MTT-S …, 2024 - ieeexplore.ieee.org
In this work, we demonstrated a rapid modeling approach for 3D FBARs using a Keras
based neural network, enabling quicker determination of the device's physical properties …

Machine Learning Assisted AlN Resonator Optimization Achieving 7.8% Coupling Coefficient with 70% Reduction in Time Expenditure

X He, C Ma, F Huang, L Liao, J Chen… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
In our work, we present a machine learning-assisted optimization method that can generate
the optimal design parameters for the laterally coupled alternating thickness (LCAT) mode …

[图书][B] Dynamics of Multiferroic Coupling

S Tiwari - 2020 - search.proquest.com
Multiferroics is a field that has rapidly garnered much interest in the past several years
because of its establishment of a new unconventional class of electromagnetic devices. By …

Automatic Filter Design Algorithm based on Machine Learning and Synthesis

L Liao, X Zou, Z Wang, C Ma, F Huang… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
The traditional Film Bulk Acoustic Resonator (FBAR) filter design process is usually assisted
by optimization algorithms. The design process requires multiple iterations of parameters in …