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The coexistence of different ferroelectric phases enables the tunability of the macroscopic properties and extensive applications from piezoelectric transducers to nonvolatile memories. Here we develop a thermodynamic model to predict the…

Materials Science · Physics 2022-01-26 Yang Zhang , Fei Xue , Bo Wang , Jia-Mian Hu , Shuai Dong , Jun-Ming Liu , Long-Qing Chen

In a recent letter [Phys. Rev. Lett. {\bf 75}, 2360 (1996)] we briefly discussed the existence and nature of ferroelectric order in positionally disordered dipolar materials. Here we report further results and give a complete description of…

Disordered Systems and Neural Networks · Physics 2009-10-30 G. Ayton , M. J. P. Gingras , G. N. Patey

Pressure-induced polarization switching in ferroelectric thin films has emerged as a powerful method for domain patterning, allowing to create predefined domain patterns on free surfaces and under thin conductive top electrodes. However,…

Materials Science · Physics 2017-12-06 Ye Cao , Anna Morozovska , Sergei V. Kalinin

The bulk photovoltaic effect that is intimately associated with crystalline symmetry has been extensively studied in various nonmagnetic materials, especially ferroelectrics with a switchable electric polarization. In order to further…

Materials Science · Physics 2022-12-28 Chunmei Zhang , Ping Guo , Jian Zhou

Electrochemical phenomena in ferroelectrics are of particular interest for catalysis and sensing applications, with recent studies highlighting the combined role of the ferroelectric polarisation, applied surface voltage and overall…

Electric field-induced studies, including phase transition and polarization hysteresis, for ferroelectric HfO2 at the atomic scale are critical since they can largely affect its application in ferroelectric and dielectric devices. However,…

Materials Science · Physics 2025-11-14 Po-Yen Chen , Teruyasu Mizoguchi

We study the Ising model under a time-varying, but spatially homogeneous, Gaussian random magnetic field. In the Monte Carlo simulations, we go beyond the standard analysis of the order parameter by measuring the magnetization probability…

Statistical Mechanics · Physics 2026-03-30 Sara Oliver-Bonafoux , Raul Toral , Amitabha Chakrabarti

By using piezoelectric force microscopy and scanning Kelvin probe microscopy, we have investigated the domain evolution and space charge distribution in planar BiFeO3 capacitors with different electrodes. It is observed that charge…

Materials Science · Physics 2015-06-15 Yang Zhou , Xi Zou , Lu You , Rui Guo , Zhi Shiuh Lim , Lang Chen , Guoliang Yuan , Junling Wang

We report an electric-field poling study of the geometric-driven improper ferroelectric h-ErMnO$_3$. From a detailed dielectric analysis we deduce the temperature and frequency dependent range for which single-crystalline h-ErMnO$_3$…

The phase diagram and the thermodynamics of the random field Ising model (RFIM) defined on a family of diamond hierarchical lattices of arbitrary dimension and scaling factor $b=2$ is investigated. The phase diagram is studied considering…

Disordered Systems and Neural Networks · Physics 2007-05-23 Alexandre Rosas , Sérgio Coutinho

Nonequilibrium behavior and dynamic phase transition properties of a kinetic Ising model under the influence of periodically oscillating random-fields have been analyzed within the framework of effective field theory (EFT) based on a…

Statistical Mechanics · Physics 2012-07-10 Yusuf Yüksel , Erol Vatansever , Ümit Akıncı , Hamza Polat

Fatigue refers to the changes in material properties caused by repeatedly applied loads. It has been widely studied for, e.g., construction materials, but much less has been done on soft materials. Here, we characterize the fatigue dynamics…

Soft Condensed Matter · Physics 2016-08-30 Thomas Gibaud , Christophe Perge , Stefan B. Lindstrom , Nicolas Taberlet , Sebastien Manneville

A microscopic model Hamiltonian for the ferroelectric field effect is introduced for the study of oxide heterostructures with ferroelectric components. The long-range Coulomb interaction is incorporated as an electrostatic potential, solved…

Materials Science · Physics 2011-10-25 Shuai Dong , Xiaotian Zhang , Rong Yu , J. -M. Liu , Elbio Dagotto

Interfacial ferroelectricity offers a promising platform for ultrafast, low-power memory devices. While previous studies have demonstrated the importance of domain wall in polarization switching, the coexistence of various domain wall types…

Materials Science · Physics 2025-12-24 Hao-Wen Xu , Wen-Cheng Fan , Jun-Ding Zheng , Cheng-Shi Yao , Ni Zhong , Wen-Yi Tong , Chun-Gang Duan

Detecting mechanical fatigue of metallic components is always a challenge in industries. In this work, we proposed to monitor the low-cycle fatigue of a 6061 aluminum alloy based on internal friction (IF) measurement, which is realized by a…

Applied Physics · Physics 2022-01-05 Jihua Tang , Mingyu Xie , Faxin Li

Lithium-ion batteries (LIBs) of high energy density and light-weight design, have found wide applications in electronic devices and systems. Degradation mechanisms that caused by lithiation is a main challenging problem for LIBs with high…

Computational Engineering, Finance, and Science · Computer Science 2020-06-26 Masoud Ahmadi

Fatigue fracture is one of the main causes of failure in structures. However, the simulation of fatigue crack growth is computationally demanding due to the large number of load cycles involved. Metals in the low cycle fatigue range often…

Computational Physics · Physics 2024-11-11 Martha Kalina , Tom Schneider , Haim Waisman , Markus Kästner

Fatigue failure in ferroelectrics has been intensively investigated in the past few decades. Most of the mechanisms discussed for ferroelectric fatigue have been built on the "hypothesis of variation in charged defects", which however are…

Materials Science · Physics 2014-12-09 Qingqing Ke , Amit Kumar , Xiaojie Lou , Yuan Ping Feng , Kaiyang Zeng , Yongqing Cai , John Wang

We present FatigueFormer, a semi-end-to-end framework that deliberately combines saliency-guided feature separation with deep temporal modeling to learn interpretable and generalizable muscle fatigue dynamics from surface electromyography…

Machine Learning · Computer Science 2026-03-31 Tong Zhang , Hong Guo , Shuangzhou Yan , Dongkai Weng , Jian Wang , Hongxin Zhang

Static mechanical properties (e.g. elastic modulus) and fatigue properties of a material all have dispersions. Material inhomogeneity (it can be characterized well by the dispersion of elastic modulus) is the internal factor of dispersions…

Materials Science · Physics 2016-10-26 L Zhou , H M Qu