98%
921
2 minutes
20
Ferroelectric materials are considered candidates for functional device application since their discovery in 1920. The functionality is realized by polarization evolution itself or the resulting effects. Studies on ferroelectrics have been going on over a century with a rough journey, because they have the excellent physical properties and also the fatal disadvantages for the device applications, where polarization microstructure and the dynamics are always the core issues. The demand for miniaturization, low energy consumption, and intelligence of devices leads to the advancement of the studies on the polarization microstructure and dynamics towards microscopic and ultrafast scales, as well as precise manipulation. This review mainly focuses on the inherent logic of the development of the theoretical modeling on the polarization dynamics. We would like to discuss the historical background of the development of theoretical models and their limitations, following the historical trajectory how to understand the multiscale nature of polarization microstructure and dynamics and the developing demand of functional devices applications, based on which the prospect and future development direction of theoretical modeling are proposed.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1088/1361-648X/adbecc | DOI Listing |
Nanoscale Horiz
September 2025
Theoretical Chemical Physics Group, Research Institute for Materials Science and Engineering, University of Mons, 20 Place du Parc, Mons B-7000, Belgium.
Two-photon spontaneous emission (TPSE) is a second-order quantum process with promising applications in quantum optics that remains largely unexplored in molecular systems, which are usually very inefficient emitters. In this work, we model the first molecular two-photon emitters and establish the design rules, highlighting their differences from those governing two-photon absorbers. Using both time-dependent density functional theory and Pariser-Parr-Pople calculations, we calculate TPSE in three π-conjugated molecules and identify a dominant pathway.
View Article and Find Full Text PDFSoft Matter
September 2025
Department of Chemistry, The Pennsylvania State University, University Park, Pennsylvania 16802, USA.
We introduce a theoretical and computational framework for extracting the pressure equation of state (EoS) of an active suspension from its steady-state sedimentation profile. As EoSs are prerequisites for many theories in active matter, determining how pressure depends on key parameters such as density, activity, and interparticle interactions is essential to make quantitative predictions relevant to materials design and engineering applications. Focusing on the one-dimensional active Brownian particle (1D-ABP) model, we show that the pressure measured in a homogeneous periodic system can be recovered from the spatial profiles established in sedimentation equilibrium.
View Article and Find Full Text PDFBrain Behav
September 2025
School of Mental Health, Bengbu Medical University, Bengbu, Anhui, China.
Objective: The study aims to explore how emotional distress is affected by childhood trauma through pathways involving alexithymia and psychological flexibility, and to construct a complete model established on this foundation, which will be provided as a theoretical theory for interventions in college students' mental health.
Methods: Note that 1002 college students were assessed using Childhood Trauma Questionnaire (CTQ), The Depression Anxiety Stress Scale (DASS-21), the 20-item Toronto alexithymia scale (TAS-20), and Acceptance and Action Questionnaire-2nd Edition (AAQ-II). After removing some non-compliant questionnaires, the remaining 885 were used for data analysis.
Nan Fang Yi Ke Da Xue Xue Bao
August 2025
School of Mathematics and Statistics, Guangdong University of Technology, Guangzhou 510520, China.
Objectives: To explore the key role of myeloid-derived suppressive cells (MDSCs) in pre-metastatic niche (PMN) and analyze their interrelationships with the main components in the microenvironment using a mathematical model.
Methods: Mathematical descriptions were used to systematically analyze the functions of MDSCs in tumor metastasis and elucidate their association with the major components (vascular endothelial cells, mesenchymal stromal cells, and cancer-associated macrophages) contributing to the formation of the pre-metastatic microenvironment. Based on the formation principle of the pre-metastatic microenvironment of tumors, the key biological processes were assumed to construct a coupled partial differential diffusion equation model.
Stat Med
September 2025
Department of Biostatistics and Data Science, University of Kansas Medical Center, Kansas City, Kansas, USA.
Background: Binary endpoints measured at two timepoints-such as pre- and post-treatment-are common in biomedical and healthcare research. The Generalized Bivariate Bernoulli Model (GBBM) provides a specialized framework for analyzing such bivariate binary data, allowing for formal tests of covariate-dependent associations conditional on baseline outcomes. Despite its potential utility, the GBBM remains underutilized due to the lack of direct implementation in standard statistical software.
View Article and Find Full Text PDF