Results 71 to 80 of about 50,934 (264)
The energetic offset between the donor and the acceptor components in organic photoactive layers is central to the tradeoff between photovoltage and photocurrent losses. This Perspective covers the most important issues surrounding this topic in non‐fullerene acceptor blends, from the difficulty of accurately determining state energies and driving ...
Dieter Neher, Manasi Pranav
wiley +1 more source
Generating VaR Scenarios under Solvency II with Product Beta Distributions
We propose a Monte Carlo simulation method to generate stress tests by VaR scenarios under Solvency II for dependent risks on the basis of observed data. This is of particular interest for the construction of Internal Models.
Dietmar Pfeifer, Olena Ragulina
doaj +1 more source
Statistical Error Analysis for the Direct Simulation Monte Carlo Technique
The ways of analyzing and the minimization of statistical errors of the direct simulation Monte Carlo method are studied. The dependence of the statistical error on the execution time, the particle number per cell, and the memory usage is discussed. Simulations for three kinds of flow (low Mach number supersonic flow, hypersonic flow, and expansion ...
Chen, Gang, Boyd, Iain D.
openaire +1 more source
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
Synthesis of diamond structures from the coaxial flows of Н2 and Н2+СН4 mixture
The work presents the results of experiments on the diamond gas-jet synthesis from methane and hydrogen mixture, flowing from coaxial channels under the following conditions: temperature of the hydrogen activating surface of 2400 K, pressure in the ...
Emel’yanov Alexey +2 more
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
The aim of this paper is to present a survey of the results for the flows of simple gases and liquids with substructure through narrow channels, obtained with the Direct Monte Carlo and Molecular Dynamics Simulation methods.
ANNA KUCABA-PIĘTAL +2 more
doaj
Direct Simulation Monte Carlo Simulation of the Effect of Needle Valve Structures on the Rarefied Flow of Cold Gas Thrusters. [PDF]
Lu S +5 more
europepmc +1 more source
Emergent Spin Supersolids in Frustrated Quantum Materials
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
Pantera: A PIC-MCC-DSMC software for the simulation of rarefied gases and plasmas
We present Pantera, an open-source, parallel, particle-based code for the simulation of rarefied gases and plasmas. The code uses the Particle-in-Cell (PIC) method for the solution of ionized flows in the electrostatic approximation, coupled to the ...
P. Parodi +3 more
doaj +1 more source

