Results 101 to 110 of about 415,714 (310)

Ultrasmall High‐Entropy Materials: Nanoscale Effects, Synthesis, and Mechanistic Insights

open access: yesAdvanced Functional Materials, EarlyView.
This review article focuses on sub‐10 nm high‐entropy materials that combine nanoscale design with complex compositions for next‐generation applications. ABSTRACT Ultrasmall high‐entropy nanomaterials (USHENMs, <10 nm) merge multicomponent chemistry with size‐dependent effects, forming a distinct class of materials with unprecedented properties.
Yueyue He   +5 more
wiley   +1 more source

Oxidized MoS2‐Based Multifunctional Memristive Hardware for Energy‐Efficient mmWave Signal Processing and In‐Memory Matrix Multiplication

open access: yesAdvanced Functional Materials, EarlyView.
Thermally oxidized MoS2‐based radio‐frequency switches enable a multifunctional platform that unifies broadband RF switching and in‐memory computation. The device achieves a cutoff frequency of 33.2 THz with high energy efficiency and supports hardware‐aware signal processing.
Juho Son   +5 more
wiley   +1 more source

Small Noise Asymptotics for a Stochastic Growth Model [PDF]

open access: yes
We develop analytic asymptotic methods to characterize time series properties of nonlinear dynamic stochastic models. We focus on a stochastic growth model which is representative of the models underlying much of modern macroeconomics.
Noah Williams
core  

A two factor long memory stochastic volatility model [PDF]

open access: yes, 2006
In this paper we fit the main features of financial returns by means of a two factor long memory stochastic volatility model (2FLMSV). Volatility, which is not observable, is explained by both a short-run and a long-run factor. The first factor follows a
Veiga, Helena
core  

Transparent and Robust LiCl–Organohydrogel Triboelectric Nanogenerator With Deep Learning Assisted Sensing

open access: yesAdvanced Functional Materials, EarlyView.
Develop a LiCl–PEI–PAM hydrogel with 3000% stretchability and excellent optical transparency. Through comparative studies of various salts, confirm that LiCl is the most suitable salt for high TENG output. Achieve excellent freeze‐resistant, dry‐resistant, and rapid self‐healing (10 s) properties even in extreme environments. Balance ionic conductivity,
Hai Anh Thi Le   +6 more
wiley   +1 more source

Thermally Pre‐Formed Reconfigurable Resistive Random‐Access Memory Crossbar Arrays: A Dual‐Mode Platform for Robust Physically Unclonable Functions and In‐Memory Computing

open access: yesAdvanced Functional Materials, EarlyView.
A reconfigurable RRAM platform utilizing thermally pre‐formed filaments (TPFs) is developed to realize robust hardware security. By exploiting the thermodynamic stochasticity of TPFs, exceptionally reliable physically unclonable functions (PUFs) are achieved.
Seongbin Kwon   +4 more
wiley   +1 more source

"Multivariate stochastic volatility" [PDF]

open access: yes
We provide a detailed summary of the large and vibrant emerging literature that deals with the multivariate modeling of conditional volatility of financial time series within the framework of stochastic volatility.
Manabu Asai   +2 more
core  

Time‐Resolved Magnetization Switching Dynamics Driven by Orbital Torques

open access: yesAdvanced Functional Materials, EarlyView.
Du et al. reveal nanosecond magnetization switching driven by orbital currents using time‐resolved Hall detection. The measurements separate domain nucleation from domain wall propagation and show that Joule heating strongly assists switching by lowering energy barriers.
Ao Du   +4 more
wiley   +1 more source

Regret and Conservatism of Constrained Stochastic Model Predictive Control

open access: yes
We analyse conservatism and regret of stochastic model predictive control (SMPC) when using moment-based ambiguity sets for modeling unknown uncertainties.
Findeisen, Rolf,   +3 more
core  

Bayesian Analysis of the Stochastic Conditional Duration Model [PDF]

open access: yes
A Bayesian Markov Chain Monte Carlo methodology is developed for estimating the stochastic conditional duration model. The conditional mean of durations between trades is modelled as a latent stochastic process, with the conditional distribution of ...
Chris M. Strickland   +2 more
core  

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