Results 71 to 80 of about 561,284 (332)

Structurally Colored Physically Unclonable Functions with Ultra‐Rich and Stable Encoding Capacity

Advanced Functional Materials, Volume 35, Issue 12, March 18, 2025.
This study reports a design strategy for generating bright‐field resolvable physically unclonable functions with extremely rich encoding capacity coupled with outstanding thermal and chemical stability. The optical response emerges from thickness‐dependent structural color formation in ZnO features, which are fabricated by physical vapor deposition ...
Abidin Esidir, Miaoning Ren, Sami Pekdemir, Mustafa Kalay, Nilgun Kayaci, Nail Gunaltay, Hakan Usta, Xian Huang, Mustafa Serdar Onses   +8 more
wiley   +1 more source

Ultra‐Fast Non‐Volatile Resistive Switching Devices with Over 512 Distinct and Stable Levels for Memory and Neuromorphic Computing

Advanced Functional Materials, EarlyView.
A materials and device design concept that comprises a self‐assembled ultra‐thin epitaxial ion‐transporting layer, an amorphous oxide overcoat oxygen‐blocking layer, and a partial filament formed during an electroforming step is proposed for low‐current multilevel resistive switching devices.
Ming Xiao, Markus Hellenbrand, Nives Strkalj, Babak Bakhit, Zhuotong Sun, Nikolaos Barmpatsalos, Dovydas Joksas, Hongyi Dou, Zedong Hu, Ping Lu, Samip Karki, Sundar Kunwar, Jonathan D. Major, Aiping Chen, Haiyan Wang, Quanxi Jia, Adnan Mehonic, Judith L. MacManus‐Driscoll   +17 more
wiley   +1 more source

Roulette‐Inspired Physical Unclonable Functions: Stochastic yet Deterministic Multi‐Bit Patterning through the Solutal Marangoni Effect

Advanced Functional Materials, EarlyView.
Geometric multi‐bit patterning based on dynamic wetting and dewetting phenomena creates roulette‐like Physical Unclonable Function (PUF) labels with stochastic yet deterministic properties. This method leverages the solutal‐Marangoni effect for high randomness while achieving deterministic multinary patterns through polygonal confinement of binary ...
Yeongin Cho, Jeongsu Pyeon, Hanhwi Jang, Gwangsik Mun, Jaimin Kang, Byong‐Guk Park, Geon Yeong Kim, Hyoungsoo Kim, Yeon Sik Jung   +8 more
wiley   +1 more source

Active Learning‐Driven Discovery of Sub‐2 Nm High‐Entropy Nanocatalysts for Alkaline Water Splitting

Advanced Functional Materials, EarlyView.
High‐entropy nanoparticles (HENPs) hold great promise for electrocatalysis, yet optimizing their compositions remains challenging. This study employs active learning and Bayesian Optimization to accelerate the discovery of octonary HENPs for hydrogen and oxygen evolution reactions.
Sakthivel Perumal, Da Bean Han, Thandapani Marimuthu, Taewaen Lim, Hyun Woo Kim, Junhyeok Seo   +5 more
wiley   +1 more source

DifferentialEquations.jl – A Performant and Feature-Rich Ecosystem for Solving Differential Equations in Julia

Journal of Open Research Software, 2017
DifferentialEquations.jl is a package for solving differential equations in Julia. It covers discrete equations (function maps, discrete stochastic (Gillespie/Markov) simulations), ordinary differential equations, stochastic differential equations ...
Christopher Rackauckas, Qing Nie
doaj   +1 more source

Spectroelectrochemical Determination of Förster Radii for Triplet‐Polaron Quenching in Phosphorescent Organic Light‐Emitting Diodes

Advanced Functional Materials, EarlyView.
Phosphorescent OLEDs suffer from efficiency roll‐off due to triplet‐polaron quenching (TPQ). This study demonstrates for a large set of host‐guest combinations a spectroelectrochemical method to measure the absorption of charged molecules, enabling determining TPQ Förster radii (2.5–4 nm) from the spectral overlap.
Stan E. A. Jaspars, Hiroki Tomita, Clint van Hoesel, Nicolas Daub, René A.J. Janssen, Reinder Coehoorn   +5 more
wiley   +1 more source

Exploring novel applications of stochastic differential equations: Unraveling dynamics in plasma physics with the Tanh-Coth method

Results in Physics
This study addresses the solution of differential equations converted into stochastic differential equations with the introduction of a noise term. To simplify the stochastic complexity, we employ a transformation, converting the equations into ordinary ...
Jamil Abbas Haider, Abdullah M.S. Alhuthali, Mohamed Abdelghany Elkotb   +2 more
doaj  

A Note on Averaging Principles for Fractional Stochastic Differential Equations

Fractal and Fractional
Over the past few years, many scholars began to study averaging principles for fractional stochastic differential equations since they can provide an approximate analytical method to reduce such systems.
Jiankang Liu, Haodian Zhang, Jinbin Wang, Chen Jin, Jing Li, Wei Xu   +5 more
doaj   +1 more source

Nonexplosion and Pathwise Uniqueness of Stochastic Differential Equation Driven by Continuous Semimartingale with Non-Lipschitz Coefficients

Journal of Mathematics, 2015
We study a class of stochastic differential equations driven by semimartingale with non-Lipschitz coefficients. New sufficient conditions on the strong uniqueness and the nonexplosion are derived for d-dimensional stochastic differential equations on Rd (
Jinxia Wang
doaj   +1 more source

A Novel Approach to Implementing Artificial Thalamic Neurons with Ferroelectric Transistors

Advanced Functional Materials, EarlyView.
Artificial neurons created using CMOS technology often require a large number of transistors and capacitors. This study introduces an artificial thalamic neuron that employs only five CMOS compatible ferroelectric transistors. The manufactured thalamic neuron demonstrates leaky integrate‐and‐fire‐or‐burst (LIFB) functionalities, featuring self ...
Andreas Grenmyr, Jiayuan Zhang, Jingxuan Sun, Kenta Moto, Stefan Wiefels, Seong‐Ryong Koh, Detlev Grützmacher, Qing‐Tai Zhao   +7 more
wiley   +1 more source