Measuring and improving adaptive capacity in resilient systems by means of an integrated DEA-Machine learning approach
Resilient systems strive to enhance the safety of complex systems through building and
developing adaptive technological and organizational capacities. This study aims at …
developing adaptive technological and organizational capacities. This study aims at …
Magnet-less circulator using AlN MEMS filters and CMOS RF switches
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 …
facilitates the development of in-band full duplexers for simultaneous transmit and receive …
Neural Network-Aided Spurious Modes Optimization Targeting Lithium Niobate MEMS Resonators
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 …
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
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 …
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
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) …
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
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 …
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 …
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 …
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 …
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 …
by optimization algorithms. The design process requires multiple iterations of parameters in …