Results 61 to 70 of about 213,445 (314)

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

Monte Carlo simulation of grain growth

Materials Research, 1999
Understanding and predicting grain growth in Metallurgy is meaningful. Monte Carlo methods have been used in computer simulations in many different fields of knowledge. Grain growth simulation using this method is especially attractive as the statistical
Paulo Blikstein, André Paulo Tschiptschin   +1 more
doaj   +1 more source

Designing Polymer Nanocomposites for X‐Ray Shielding: Mechanisms, Architectures, and Scalable Processing

Advanced Engineering Materials, EarlyView.
This review highlights advances in lightweight, lead‐free polymer nanocomposites for diagnostic X‐ray shielding. By linking filler chemistry, dispersion, architecture, and photon interaction mechanisms, it establishes structure–performance relationships guiding material design.
Aklilu G. Messele, Hossein Ipakchi, Tizazu H. Mekonnen   +2 more
wiley   +1 more source

Crossed source-detector geometry for a novel spray diagnostic: Monte Carlo simulation and analytical results [PDF]

, 2005
Sprays and other industrially relevant turbid media can be quantitatively characterized by light scattering. However, current optical diagnostic techniques generate errors in the intermediate scattering regime where the average number of light ...
Churmakov, D. Y., Meglinski, I. V., Jermy, Mark C., Romanov, V. P., Berrocal, Edouard   +4 more
core  

Mean exit times and the multilevel Monte Carlo method [PDF]

, 2013
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, Higham, Desmond, Mao, Xuerong, Song, Qingshuo, Yin, George   +4 more
core   +1 more source

Quasi-Monte Carlo Simulation of Diffusion

Journal of Complexity, 1999
A Monte Carlo method of random walk type is constructed to determine the solution of a diffusion equation. Upper bounds for the error and computational examples are given.
Lecot, Christian, El Khettabi, Faysal
openaire   +1 more source

Speckle‐Engineered Upconversion Amplification in Nanoemulsion‐Templated Hydrogel Microdomes

Advanced Functional Materials, EarlyView.
Nanoemulsion‐confined PEGDA microdomes generate speckle‐like excitation fields that strongly amplify upconversion luminescence upon dehydration, enabling filter‐free visible readout with reversible on–off switching. DMD‐based lithography yields scalable, shape‐programmable arrays for moisture‐responsive displays and optical encryption.
Chaeyeong Ryu, Byungcheon Yoo, Seunghun Lee, Hyungyo Jeong, Sanggyun Jeong, Heesu Cho, Jongwon Oh, Dahye Baek, Jongkyu Kim, Yubin Lee, Eunsu Gu, Dong‐Hwan Kim, Jung‐Hoon Park, Jiseok Lee   +13 more
wiley   +1 more source

Exhaustive review of acceleration strategies for Monte Carlo simulations in photon transit

Journal of Innovative Optical Health Sciences
Monte Carlo simulation techniques have become the quintessence and a pivotal nexus of inquiry in the realm of simulating photon movement within biological fabrics.
Louzhe Xu, Zijie Zhu, Ting Li
doaj   +1 more source

Monte Carlo simulation of Touschek effect

Physical Review Special Topics. Accelerators and Beams, 2010
We present a Monte Carlo method implementation in the code elegant for simulating Touschek scattering effects in a linac beam. The local scattering rate and the distribution of scattered electrons can be obtained from the code either for a Gaussian ...
Aimin Xiao, Michael Borland
doaj   +1 more source

Computing mean first exit times for stochastic processes using multi-level Monte Carlo [PDF]

, 2012
The multi-level approach developed by Giles (2008) can be used to estimate mean first exit times for stochastic differential equations, which are of interest in finance, physics and chemical kinetics.
Mikolaj Roj, Roj, Mikolaj, Higham, Desmond, Uhrmacher, A.M., Desmond J. Higham   +4 more
core   +1 more source