Epitaxial strain has been widely used to tune crystal and domain structures in ferroelectric thin films. New avenues of strain engineering based on varying the composition at the nanometer scale have been shown to generate symmetry breaking and large strain gradients culminating in large built-in potentials. In this work, we develop routes to deterministically control these built-in potentials by exploiting the interplay between strain gradients, strain accommodation, and domain formation in compositionally graded PbZr1-xTixO3 heterostructures. We demonstrate that variations in the nature of the compositional gradient and heterostructure thickness can be used to control both the crystal and domain structures and give rise to nonintuitive evolution of the built-in potential, which does not scale directly with the magnitude of the strain gradient as would be expected. Instead, large built-in potentials are observed in compositionally-graded heterostructures that contain (1) compositional gradients that traverse chemistries associated with structural phase boundaries (such as the morphotropic phase boundary) and (2) ferroelastic domain structures. In turn, the built-in potential is observed to be dependent on a combination of flexoelectric effects (i.e., polarization-strain gradient coupling), chemical-gradient effects (i.e., polarization-chemical potential gradient coupling), and local inhomogeneities (in structure or chemistry) that enhance strain (and/or chemical potential) gradients such as areas with nonlinear lattice parameter variation with chemistry or near ferroelastic domain boundaries. Regardless of origin, large built-in potentials act to suppress the dielectric permittivity, while having minimal impact on the magnitude of the polarization, which is important for the optimization of these materials for a range of nanoapplications from vibrational energy harvesting to thermal energy conversion and beyond.
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http://dx.doi.org/10.1021/acsnano.5b02289 | DOI Listing |
J Colloid Interface Sci
January 2025
School of Resources, Environment and Materials, Guangxi University, Nanning 530004, China. Electronic address:
The limited transport of oxygen at the solid-liquid interface and the poor charge separation efficiency of single catalyst significantly impedes the generation of reactive oxygen species (ROS), thereby weakening the application potential of photocatalytic technology in water pollution control. Herein, a hollow porous photocatalytic aerogel sphere (calcium alginate/cellulose nanofibers (CA/CNF)) loaded BiOBr/TiC, combining a favourable mass transfer structure with effective catalytic centers was firstly presented. The floatability and hollow pore structure facilitated rapid O transfer via a triphase interface, thereby promoting the generation of ROS.
View Article and Find Full Text PDFDisabil Rehabil
January 2025
Biomedical Signals and Systems, Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, Netherlands.
Purpose: eHealth might contribute to changes in roles and responsibilities of patients and healthcare professionals (HCPs), including the patient's potential to enhance self-regulation. The aim of this study was to identify important aspects and experiences of self-regulation and factors that may support self-regulation in blended rehabilitation care.
Materials And Methods: Semi-structured interviews were conducted among HCPs and patients regarding perceptions and experiences with self-regulation in relation to a telerehabilitation portal.
Micromachines (Basel)
December 2024
School of Microelectronics, Xidian University, Xi'an 710071, China.
The failure of different chips under working conditions is influenced by various stress states such as different voltages, temperatures, stress durations, and stress variations. Therefore, the failure time has a great degree of dispersion, and similar chips may exhibit different failure mechanisms due to variations in their working environments. This paper proposes three system-on-chip reliability failure prediction unit circuits: the time-dependent dielectric breakdown prediction circuit, the negative bias temperature instability prediction circuit, and the hot carrier injection prediction circuit.
View Article and Find Full Text PDFJMIR Form Res
January 2025
Paradym, London, United Kingdom.
Background: With growing evidence suggesting that levels of emotional well-being have been decreasing globally over the past few years, demand for easily accessible, convenient, and affordable well-being and mental health support has increased. Although mental health apps designed to tackle this demand by targeting diagnosed conditions have been shown to be beneficial, less research has focused on apps aiming to improve emotional well-being. There is also a dearth of research on well-being apps structured around users' lived experiences and emotional patterns and a lack of integration of real-world evidence of app usage.
View Article and Find Full Text PDFComput Biol Med
January 2025
Department of Mechanical Engineering, Stanford University, United States.
We present a built-in physics neural network architecture, known as inelastic Constitutive Artificial Neural Network (iCANN), to discover the inelastic phenomenon of tensional homeostasis. In this course, identifying the optimal model and material parameters to accurately capture the macroscopic behavior of inelastic materials can only be accomplished with significant expertise, is often time-consuming, and prone to error, regardless of the specific inelastic phenomenon. To address this challenge, built-in physics machine learning algorithms offer significant potential.
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