Results 61 to 70 of about 156,378 (258)

Monte Carlo simulation for statistical Hauser-Feshbach theory

EPJ Web of Conferences, 2010
Monte Carlo simulations for particle and γ-ray emissions from a compound nucleus based on the Hauser-Feshbach statistical theory are performed. The Monte Carlo method is applied to the neutron induced nuclear reactions on 56Fe, and the results are ...
Watanabe T., Chadwick M.B., Talou P., Kawano T.   +3 more
doaj   +1 more source

Definition of Maintenance Policies in Power Systems Using a Sequential Monte Carlo

U.Porto Journal of Engineering, 2015
This paper reports an application of a simulationmethod called chronological Monte Carlo to evaluate power systems reliability. The Monte Carlo methods are, nowadays, the most widely used method for the estimation of reliability indices.
João Silva
doaj   +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

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

BACH, a Bayesian Optimization Protocol for Accurate Coarse‐Grained Parameterization of Organic Liquids

Advanced Functional Materials, EarlyView.
We present a fully automated Bayesian optimization (BO) protocol for the parameterization of nonbonded interactions in coarse‐grain CG force fields (BACH). Using experimental thermophysical data, we apply the protocol to a broad range of liquids, spanning linear, branched, and unsaturated hydrocarbons, esters, triglycerides, and water.
Janak Prabhu, Akhil Pratap Singh, Pablo Campomanes, Stefano Vanni   +3 more
wiley   +1 more source

A Mechanistic Blueprint for Fast, High‐Yield Green Scintillators Using Conjugated Polymer–Nanocrystal Composites

Advanced Functional Materials, EarlyView.
Conjugated polymer–nanocrystal composites are investigated to develop fast, high‐yield green scintillators. The polymer F8BT enables efficient, ultrafast emission, while blends with non‐emitting HfO2 nanocrystals and luminescent CdZnS/ZnS quantum dots reveal distinct sensitization mechanisms.
Chenger Wang, Emanuele Mazzola, Andrea Fratelli, Matteo L. Zaffalon, Francesco Bruni, Francesco Carulli, Xiaohe Zhou, Saptarshi Chakraborty, Leonardo Poletti, Luca Cappelletti, Francesco Meinardi, Francesca Rossi, Luca Gironi, Sergio Brovelli   +13 more
wiley   +1 more source

MedLinac2: a GEANT4 based software package for radiotherapy

Annali dell'Istituto Superiore di Sanità, 2010
Dose distribution evaluation in oncological radiotherapy treatments is an outstanding problem that requires sophisticated computing technologies to optimize the clinical results (i.e.
Barbara Caccia, Claudio Andenna, Giuseppe Antonio Pablo Cirrone   +2 more
doaj   +1 more source

Monte Carlo and kinetic Monte Carlo methods

, 2009
This article reviews the basic computational techniques for carrying out multi-scale simulations using statistical methods, with the focus on simulations of epitaxial growth. First, the statistical-physics background behind Monte Carlo simulations is briefly described.
openaire   +2 more sources

Ultrathin, Stretchable, and 3D‐Printable Complementary Nanotubes–Polymer Composites for Multimodal Radiation Shielding in Extreme Environments

Advanced Materials, EarlyView.
A 3D‐printable dual‐mode radiation shielding material is introduced by combining boron nitride nanotubes and single‐walled carbon nanotubes in a stretchable PDMS matrix. The complementary nanotube network enables simultaneous attenuation of electromagnetic interference and neutron radiation while maintaining lightweight, mechanical resilience, and ...
Flandy, Kun Kim, Jaehyoung Ko, Daeun Kim, Daekwon Lee, Heesuk Rho, Sang Seok Lee, Dong Su Lee, Se Gyu Jang, Seokhoon Ahn, Seung‐Yeol Jeon, Dae‐Young Jeon, Yongho Joo   +12 more
wiley   +1 more source

Evaluating Embedded Monte Carlo vs. Total Monte Carlo for Nuclear Data Uncertainty Quantification [PDF]

EPJ Web of Conferences
The purpose of this paper is to compare a new method called Embedded Monte Carlo (EMC) to the well-known Total Monte Carlo (TMC) method for nuclear data uncertainty propagation.
Biot Grégoire, Rochman Dimitri, Ducru Pablo, Forget Benoit   +3 more
doaj   +1 more source