A review of the metal magnetic memory method
S Bao, P Jin, Z Zhao, M Fu - Journal of Nondestructive Evaluation, 2020 - Springer
Metal magnetic memory (MMM) method is a non-destructive testing (NDT) technology which
has potentials to detect early damage. A review is presented in this paper about the …
has potentials to detect early damage. A review is presented in this paper about the …
Decoding the fingerprint of ferroelectric loops: comprehension of the material properties and structures
Due to the nature of domains, ferroics, including ferromagnetic, ferroelectric, and ferroelastic
materials, exhibit hysteresis phenomena with respect to external driving fields (magnetic …
materials, exhibit hysteresis phenomena with respect to external driving fields (magnetic …
A unified framework for modeling hysteresis in ferroic materials
This paper addresses the development of a unified framework for quantifying hysteresis and
constitutive nonlinearities inherent to ferroelectric, ferromagnetic and ferroelastic materials …
constitutive nonlinearities inherent to ferroelectric, ferromagnetic and ferroelastic materials …
Multiscale grain synergistic by microstructure designed hierarchically structured in BaTiO3-based ceramics with enhanced energy storage density and X9R high …
H Wang, R Huang, H Hao, Z Yao, H Liu… - Journal of Materials …, 2022 - Springer
Dielectric capacitors are extensively applied in the electronics industry and energy storage
fields due to their fast charging and discharging and better safety and stability. However, the …
fields due to their fast charging and discharging and better safety and stability. However, the …
A homogenized energy framework for ferromagnetic hysteresis
In this paper, we develop a macroscopic framework quantifying the hysteresis and
constitutive nonlinearities inherent to ferromagnetic materials. In the first step of the …
constitutive nonlinearities inherent to ferromagnetic materials. In the first step of the …
Modeling piezoelectric actuators with hysteretic recurrent neural networks
This paper describes the application of Hysteretic Recurrent Neural Networks (HRNNs) to
the modeling of polycrystalline piezoelectric actuators. Because piezoelectric materials …
the modeling of polycrystalline piezoelectric actuators. Because piezoelectric materials …
Tracking control of piezoelectric stack actuator using modified Prandtl–Ishlinskii model
Y Chen, J Qiu, J Palacios… - Journal of Intelligent …, 2013 - journals.sagepub.com
This article presents the development of Prandtl–Ishlinskii hysteresis model and tracking
control of piezoelectric stack actuator with severe hysteresis. Classical Prandtl–Ishlinskii …
control of piezoelectric stack actuator with severe hysteresis. Classical Prandtl–Ishlinskii …
Modeling of hysteresis loop and its applications in ferroelectric materials
Z Ma, Y Ma, Z Chen, F Zheng, H Gao, H Liu… - Ceramics International, 2018 - Elsevier
In order to understand the hysteresis loop of ferroelectric materials, we deduced a novel
model combined with the electric field, the temperature and the stress as a united parameter …
model combined with the electric field, the temperature and the stress as a united parameter …
Hysteresis-reduced dynamic displacement control of piezoceramic stack actuators using model predictive sliding mode control
Currently, piezoelectric actuators are being used in many applications from precision
positioning control to active vibration control of large space structures. They can take the …
positioning control to active vibration control of large space structures. They can take the …
Negative capacitance from the inductance of ferroelectric switching
Negative capacitance (NC) has been proposed to realize sub-Boltzmann steep-slope
transistors in recent years. We provide experimental evidences and theoretical view for …
transistors in recent years. We provide experimental evidences and theoretical view for …