Results 101 to 110 of about 1,407,468 (324)

USING MONTE CARLO SIMULATION TO QUANTIFY THE COST IMPACT OF SYSTEMIC RISK FACTORS IN A PROJECT PORTFOLIO: A CASE STUDY

, 2021
Francois Joubert, Martin Snyman
openalex   +2 more sources

Mimicking Block Copolymer Self‐Assembly with One‐Pot Synthesized Polyphosphoester Gradient Copolymers

Advanced Functional Materials, EarlyView.
Degradable Polyphosphoester (PPE) gradient copolymers (GCPs) are synthesized via one‐pot copolymerization. We show that GCPs self‐assemble into nanostructures like polymersomes, effectively mimicking the behavior of traditional BCPs. The gradient strength is key, with softer gradients favoring micelles.
Suna Azhdari, Timo Rheinberger, Ulrich Mansfeld, Yorick Post, Jürgen Linders, Olga Koshkina, André H. Gröschel, Frederik R. Wurm   +7 more
wiley   +1 more source

Electric Field‐Dependent Conductivity as Probe for Charge Carrier Delocalization and Morphology in Organic Semiconductors

Advanced Functional Materials, EarlyView.
Applying a high electric field to a doped organic semiconductor heats up the charge carrier distribution beyond the lattice temperature, enhancing conductivity. It is shown that the associated effective temperature can be used to extract the effective localization length, which is a characteristic length scale of charge transport and provides ...
Morteza Shokrani, Felix Maximilian Graf, Anton Kompatscher, Dennis Derewjanko, Martijn Kemerink   +4 more
wiley   +1 more source

Performance of Hamiltonian Monte Carlo and No-U-Turn Sampler for estimating genetic parameters and breeding values

Genetics Selection Evolution, 2019
Background Hamiltonian Monte Carlo is one of the algorithms of the Markov chain Monte Carlo method that uses Hamiltonian dynamics to propose samples that follow a target distribution.
Motohide Nishio, Aisaku Arakawa
doaj   +1 more source

A framework for adaptive Monte Carlo procedures [PDF]

, 2011
Bernard Lapeyre, Jérôme Lelong
openalex   +1 more source

Correlated Atmospheric Variations Using Optimization of Dft Parameters for Monte Carlo Simulations Of Indian Space Missionscorrelated Atmospheric Variations Using Optimization of Dft Parameters for Monte Carlo Simulations Of Indian Space Missions

, 2023
S. Balamurugan, V. Adimurthy, V. Ashok
openalex   +2 more sources

An efficient kinetic Monte Carlo to study analyte capture by a nanopore: transients, boundary conditions and time-dependent fields [PDF]

, 2020
Le Qiao, Maxime Ignacio, Gary W. Slater
openalex   +1 more source

Metal–Organic Frameworks for Gaseous Pollutant Management: From Capture to Neutralization and Reutilization

Advanced Functional Materials, EarlyView.
This review maps how MOFs can manage hazardous gases by combining adsorption, neutralization, and reutilization, enabling sustainable air‐pollution control. Covering chemical warfare agent simulants, SO2, NOx, NH3, H2S, and volatile organic compounds, it highlights structure‐guided strategies that boost selectivity, water tolerance, and cycling ...
Yuanmeng Tian, Zeyu Tao, Kaikai Ma, Xiaoliang Wang, Bo Yu, Yiu Wan Yip, Zhijie Chen, Jin Shang, Bin Fei   +8 more
wiley   +1 more source

First and second generation lookback and barrier options: enhancing pricing accuracy through Conditional Monte Carlo [PDF]

Risk Management Magazine
This paper addresses the challenges associated with pricing exotic options, specifically path-dependent ones, with a focus on the limitations of standard Monte Carlo simulations and the advantages provided by Conditional Monte Carlo methods, introduced
Pier Giuseppe Giribone, Federico Tropiano   +1 more
doaj   +1 more source

Accurate Monte Carlo modeling and performance assessment of the X‐PET^™subsystem of the FLEX Triumph^™preclinical PET/CT scanner [PDF]

, 2011
Navid Zeraatkar, Mohammad Reza Ay, Alireza Kamali‐Asl, Habib Zaidi   +3 more
openalex   +1 more source