Results 111 to 120 of about 1,412,360 (277)
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
Incorporating Model Uncertainty into the Sequential Importance Sampling Framework using a Model Averaging Approach, or Trans-Dimensional Sequential Importance Sampling. [PDF]
Previously in the University eprints HAIRST pilot service at http://eprints.st-andrews.ac.uk/archive/00000463/A sequential Bayesian Monte Carlo approach is proposed in which model space can be explored during the Sequential Importance Sampling (SIS, a.k ...
Lynam, Christopher +3 more
core +2 more sources
Mean exit times and the multilevel Monte Carlo method [PDF]
Numerical methods for stochastic differential equations are relatively inefficient when used to approximate mean exit times. In particular, although the basic Euler–Maruyama method has weak order equal to one for approximating the expected value of the ...
Roj, Mikolaj +4 more
core +3 more sources
Detecting Simulated Nosocomial Disease Outbreaks with Sequential Monte Carlo Methods
Introduction: Nosocomial diseases, or healthcare-associated infections, pose significant challenges to patient safety and public health. In this study, we propose a novel approach that extends the state-of-the-art for detecting nosocomial disease ...
Dr Conor Rosato
doaj +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
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
Fixed-Lag Sequential Monte Carlo
Publication in the conference proceedings of EUSIPCO, Viena, Austria ...
Arnaud Doucet, Stéphane Sénécal
openaire +3 more sources
Confidence bands for Brownian motion and applications to Monte Carlo simulation [PDF]
Minimal area regions are constructed for Brownian paths and perturbed Brownian paths. While the theoretical optimal region cannot be obtained in closed form, we provide practical confidence regions based on numerical approximations and local time ...
W. S. Kendall +6 more
core +1 more source
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
Reliability Indices Utlization in Combined Heat and Power ( CHP ) Optimal Operation
The reason that cogeneration is being used more compared to separate heat and power is because it is more efficient. In this paper the goal is finding the optimized CHP system utility size and thermal storage considering reliability limits of boiler and
Hamed Hosseinnia +2 more
doaj
Single‐particle spectroscopy and variational quantum Monte Carlo simulations reveal that strong many‐body correlations fundamentally alter biexciton radiative recombination in weakly confined CsPbBr3 quantum dots. Intra‐ and inter‐exciton correlations reverse the conventional lifetime hierarchy, yielding biexcitons with longer radiative lifetimes than ...
Chenglian Zhu +11 more
wiley +1 more source

