Results 121 to 130 of about 266,738 (314)
Application of a modified Monte Carlo method for the simulation of heat conduction in a rectangular slab [PDF]
Maejo International Journal of Science and Technology, 2008 Monte Carlo method has been used to study heat conduction problems. It is grid-free inimplementation, unlike the conventional Finite Element and Finite Difference Method.
Ademola. A. Dare
doaj
SMCTC: Sequential Monte Carlo in C++
Sequential Monte Carlo methods are a very general class of Monte Carlo methods for sampling from sequences of distributions. Simple examples of these algorithms are used very widely in the tracking and signal processing literature.
Adam M. Johansen
core
Density estimators through Zero Variance Markov Chain Monte Carlo [PDF]
A Markov Chain Monte Carlo method is proposed for the pointwise evaluation of a density whose normalizing constant is not known. This method was introduced in the physics literature by Assaraf et al (2007).
Daniele Imparato, Antonietta Mira
core
Advanced Science, EarlyView.A physics‐based framework resolving graphite phase‐separation dynamics establishes a predictive, degradation‐aware fast‐charging methodology for commercial Li‐ion batteries. The resulting model‐informed protocol achieves 20%–80% state‐of‐charge in 14 min while matching the long‐term degradation of a commercial 25‐minute EV strategy.
Marco Lagnoni +10 more
wiley +1 more source
Clock factorized quantum Monte Carlo method for long-range interacting systems
SciPost Physics CoreSimulating long-range interacting systems is a challenging task due to its computational complexity that the computational effort for each local update is of order $\mathcal{O}(N)$, where $N$ is the size of the system.
Zhijie Fan, Chao Zhang, Youjin Deng
doaj +1 more source
Solid Ethanol as a Renewable, Low‐Toxicity, Electron‐Beam Direct Write, and Biomedical Material
Advanced Science, EarlyView.3D ice lithography (3DIL) enables the fabrication of intricate submicrometer objects using ethanol as a renewable starting material. This study combines process optimization, structural and material analysis, and biomedical applications, from cell culture scaffolds to the patterning of neurostimulation electrodes, demonstrating performance in both in ...
Bruno Perdigão +16 more
wiley +1 more source
Advanced Science, EarlyView.Through a systematic and comprehensive analysis of the environmental impacts for the emerging MXene synthesis pathways, this study presents process transformation and optimization opportunities for low‐carbon MXene production from laboratory to industrial scales.
Yushuai Huang +6 more
wiley +1 more source
"Style Analysis Based on a General State Space Model and Monte Carlo Filter" [PDF]
This paper proposes a new approach to style analysis by utilizing a general state space model and Monte Carlo filter. In particular,We regard coefficients of style indices as state variables in the state space model and apply Monte Carlo filter as ...
Seisho Sato +2 more
core
Improved Monte Carlo renormalization group methods
, 1984 Hasenfratz A, Hasenfratz P, Heller U, Karsch F. Improved Monte Carlo renormalization group methods. Physics Letters, B. 1984;140(1-2):76-82.The practical application of MCRG requires the flow lines to reach the renormalized trajectory after a small ...
Karsch, Frithjof +6 more
core +1 more source
Advanced Science, EarlyView.Phase‐resolved experiments and atomistic simulations reveal asynchronous ordering behaviors in a eutectic high‐entropy alloy during isothermal annealing. Distinct defect transport mechanisms are identified in coexisting B2 and BCC phases, showing that vacancy and interstitial mediated diffusion governs phase‐dependent thermal stability.
Huiwen Yao +5 more
wiley +1 more source