Results 121 to 130 of about 76,793 (306)

Directional Flow of Confined Polaritons in CrSBr

open access: yesAdvanced Materials, EarlyView.
CrSBr, a layered magnetic semiconductor, naturally channels self‐hybridized excitonpolaritons into highly directional flow. Its intrinsic optical anisotropy, high refractive index, and strong lightmatter coupling enable long‐range guided modes along the a‐axis, with propagation lengths set by their excitonphoton admixture.
Pratap Chandra Adak   +10 more
wiley   +1 more source

POM‐Based Water Splitting Catalyst Under Acid Conditions Driven by Its Assembly on Carbon Nanotubes

open access: yesAdvanced Materials, EarlyView.
A newly‐engineered POM‐based electrocatalyst incorporating non‐innocent counter cations exhibits fast kinetics for either the OER or HER under strongly acidic conditions (1 m H2SO4), depending on whether it is assembled on carbon nanotubes (1@CNT) or physically mixed with them (1/CNT). In water‐splitting tests using a two‐electrode setup, these systems
Eugenia P. Quirós‐Díez   +8 more
wiley   +1 more source

A Local Path Planning Method for Intelligent Vehicle in Multi-obstacle Environment

open access: yesKongzhi Yu Xinxi Jishu, 2019
In the structured road scene with multiple obstacles, intelligent vehicles need to meet the road boundary constraints and ensure continuous obstacle avoidance at the same time.
YANG Fan, XU Biao
doaj  

Maximum Likelihood and Gaussian Estimation of Continuous Time Models in Finance

open access: yes
This paper overviews maximum likelihood and Gaussian methods of estimating continuous time models used in finance. Since the exact likelihood can be constructed only in special cases, much attention has been devoted to the development of methods designed
Jun Yu, Peter C. B. Phillips
core  

Forecasting volatility: does continuous time do better than discrete time? [PDF]

open access: yes
In this paper we compare the forecast performance of continuous and discrete-time volatility models. In discrete time, we consider more than ten GARCH-type models and an asymmetric autoregressive stochastic volatility model.
Carles Bretó, Helena Veiga
core  

Mechanically Programmable DNA Hydrogel Microparticles for 3D Cellular Systems

open access: yesAdvanced Materials, EarlyView.
DNA hydrogel microparticles are designed to exhibit controllable viscoelasticity and stiffness across three orders of magnitude from 30Pa$30 \,\mathrm{Pa}$ to 6.5kPa$6.5 \,\mathrm{kPa}$. They are uptaken into fibroblast spheroids where they are actively remodeled by cellular forces depending on their mechanical properties.
Tobias Walther   +9 more
wiley   +1 more source

A comprehensive literature classification of simulation optimisation methods

open access: yes
Simulation Optimization (SO) provides a structured approach to the system design and configuration when analytical expressions for input/output relationships are unavailable. Several excellent surveys have been written on this topic.
Hachicha, Wafik   +3 more
core  

Representing intelligent decision making in discrete event simulation : a stochastic neural network approach [PDF]

open access: yes
The problem of representing decision making behaviour in discrete event simulation was investigated. Of particular interest was modelling variety in the decisions, where different people might make different decisions even where the same circumstances ...
Curram, S. P.
core  

Tough, Ductile, and Strong Hard‐Soft Cementitious Composite Enabled by Multi‐Material Additive Manufacturing

open access: yesAdvanced Materials, EarlyView.
Drawing inspiration from the layered hard‐soft architecture found in sea sponges, this work establishes a new framework for architected cementitious composites (ACC) through multi‐material additive manufacturing (MMAM) process. The integration of mortar and elastomer phases into layered architectures enables synergistic toughening mechanisms, including
Aimane Najmeddine   +5 more
wiley   +1 more source

Exact simulation of jump-diffusion processes with Monte Carlo applications [PDF]

open access: yes, 2008
We introduce a novel algorithm (JEA) to simulate exactly from a class of one-dimensional jump-diffusion processes with state-dependent intensity. The simulation of the continuous component builds on the recent Exact Algorithm ((1)).
Casella, Bruno, Roberts, Gareth O.
core  

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