Results 241 to 250 of about 11,753 (303)
This study presents a compact dynamic‐field‐driven nucleation and growth (DFNG) model that captures ferroelectric switching behavior under arbitrary voltage waveforms. It enables extraction of time‐dependent domain wall velocity and growth dimensionality, which can then be extended to device‐level modeling.
Yi Liang +10 more
wiley +1 more source
Layer orientation dictates charge transport in 2D conjugated metal–organic frameworks, yet controllable methods remain scarce. We report surfactant monolayer‐assisted on‐water synthesis of cm2‐scale Ni‐HHTP films with programmable face‐on and edge‐on orientations.
Jianjun Zhang +22 more
wiley +1 more source
Beyond diagonal noise: A better predator-prey modeling framework with cross-covariance. [PDF]
Yu J, Wang LS.
europepmc +1 more source
Asymmetric localized electron distribution has been optimized in covalent organic frameworks to enhance *O2 adsorption and facilitate charge transfer, boosting photocatalytic two‐electron transfer oxygen reduction toward H2O2 production from water and air.
Qinglan Zhao +12 more
wiley +1 more source
The development and implementation of odd-exponential-ailamujia distribution in python: properties and application in reliability engineering. [PDF]
Alballa T +4 more
europepmc +1 more source
A Survey of Interlayer Interaction Models for Graphene and Other 2D Materials
Van der Waals interactions arising from electronic polarization at atomically close interfaces generate corrugated interlayer energy landscapes that govern normal and tangential tractions. This review presents an overview of quantum, atomistic, analytical, and continuum modeling approaches, highlighting their roles across length scales in capturing ...
Gourav Yadav +2 more
wiley +1 more source
Interpretable machine learning for thermoelectric materials design with Kolmogorov-Arnold networks. [PDF]
Fronzi M +4 more
europepmc +1 more source
Xenes for Sustainable Energy: A Roadmap From First‐Principles Design to Practical Deployment
Emerging 2D Xenes are advancing from theoretical predictions toward practical energy‐storage and conversion technologies through the integration of first‐principles modelling, experimental synthesis, electrochemical validation, and AI‐assisted materials design, enabling accelerated discovery of high‐performance and sustainable electrochemical systems ...
Onur Karaman, Ceren Karaman
wiley +1 more source
Intelligent decision-making framework for selecting optimized substitution boxes in modern block cipher design. [PDF]
Khan M.
europepmc +1 more source

