Results 81 to 90 of about 1,208,874 (255)
Advanced Materials, EarlyView.Anion‐exchange doping of conjugated polymers is an effective way to achieve high conductivities. Here, we report over 2000 S cm−1 electrical conductivity for doped P(g3BTTT). In addition, we show that P(g3BTTT) sustains exceptionally high doping levels without any drop in the charge mobility.
Basil Hunger +14 more
wiley +1 more source
Zero variance in Markov chain Monte Carlo with an application to credit risk estimation [PDF]
We propose a general purpose variance reduction technique for Markov Chain Monte Carlo estimators based on the Zero-Variance principle introduced in the physics lit- erature by Assaraf and Caarel ( 1999). The potential of the new idea is illustrated with
Tenconi Paolo
core
Improved Sequential Stopping Rule for Monte Carlo Simulation [PDF]
, 2008 This letter presents an improved result on the negative-binomial Monte Carlo technique analyzed in a previous paper (L. Mendo and J. M. Hernando, ``A simple sequential stopping rule for Monte Carlo simulation,'' IEEE Trans. Commun., vol. 54, no.
Hernando Rábanos, José María +1 more
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Organic Materials of Tomorrow: Horizons of Artificial Intelligence
Advanced Materials, EarlyView.This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Emergent Spin Supersolids in Frustrated Quantum Materials
Advanced Materials, EarlyView.This review highlights developments in the study of spin super‐solids in frustrated quantum materials. Advanced experimental characterizations and computational studies enable a comprehensive understanding of the driving mechanisms of spin super‐solidity in various layered transition‐metal compounds, bridging materials, experiments, and theory aspects.
Yixuan Huang +2 more
wiley +1 more source
Monte Carlo methods for the estimation of value-at-risk and related risk measures [PDF]
, 2011 Nested Monte Carlo is a computationally expensive exercise. The main contributions we present in this thesis are the formulation of efficient algorithms to perform nested Monte Carlo for the estimation of Value-at-Risk and Expected-Tail-Loss.
Marks, Dean
core +1 more source
Fast Simulation Study of Muon Absorption Radiography Based on Energy Loss Calculation
Yuanzineng kexue jishu, 2022 Using natural cosmic ray muon as radiation source, muon absorption radiography can realize nondestructive detection of large-scale geological objects. Simulation analysis is an important step in the application of muon absorption radiography.
DING Wenwan;LIU Yuanyuan;WANG Li;SU Ning;CHENG Jianping;HAN Jianwu;ZHEN Gang
doaj
Advanced Materials, EarlyView.ABSTRACT Accurately knowing the frontier orbital energies of the structurally disordered small‐molecule organic semiconductors that are used in optoelectronic devices such as organic light‐emitting diodes is required to rationally improve their performance. Here, we show that these energies can be deduced with a large accuracy from the peak energies of
Christian B. McDonald +7 more
wiley +1 more source
Advanced Materials, EarlyView.Organic artificial neurons couple mechanical deformation and ionic environments through nonlinear mechano‐electrochemical dynamics. Mechanical strain and electrolyte concentration reshape their nonlinear electrical characteristics, programming excitatory or inhibitory spiking responses that mimic mechanosensitive biological neurons and enable ...
Rassen Boukraa +4 more
wiley +1 more source
Hybrid Monte Carlo on Hilbert spaces [PDF]
, 2011 The Hybrid Monte Carlo (HMC) algorithm provides a framework for sampling from complex, high-dimensional target distributions. In contrast with standard Markov chain Monte Carlo (MCMC) algorithms, it generates nonlocal, nonsymmetric moves in the state ...
Beskos, A +11 more
core +1 more source