Results 61 to 70 of about 1,208,874 (255)
Distributed tracking with sequential Monte Carlo methods for manoeuvrable sensors [PDF]
, 2006 Nonlinear distributed tracking for a single target is addressed in this paper. This problem consists of tracking a target of interest while moving the sensors to `best' positions according to an critera appropriate for the problem.
Canagarajah, CN +5 more
core +1 more source
Advanced Functional Materials, EarlyView.Nitride MXenes remain constrained by a persistent gap between computational prediction and experimental realization. This Review identifies the thermodynamic, kinetic, and chemical barriers limiting their synthesis, critically evaluates emerging fabrication routes, and proposes a multidimensional computational‐experimental framework to accelerate the ...
Naresh Varnakavi, Masoud Soroush
wiley +1 more source
Evaluating Embedded Monte Carlo vs. Total Monte Carlo for Nuclear Data Uncertainty Quantification [PDF]
EPJ Web of ConferencesThe 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 +3 more
doaj +1 more source
Monotonicity properties of the Monte Carlo EM algorithm and connections with simulated likelihood [PDF]
, 2007 In this note we show that the Monte Carlo EM algorithm, appropriately constructed with importance re-weighting, monotonically increases a corresponding simulated likelihood.
Sermaidis, Giorgos +1 more
core
Intracrystalline Void‐Mediated Toughening of Brittle Crystals in Quail Eggshells
Advanced Functional Materials, EarlyView.In quail eggshells, the high density and disordered arrangement of intracrystalline voids inhibit lattice cleavage, suppress long‐range crack propagation, and promote deformation twinning and quasi‐plasticity, serving as an essential toughening motif. We show that these voids remain within a narrow subcritical size range and therefore predominantly do ...
Jingxiao Zhong +16 more
wiley +1 more source
Journal of Sports Analytics, 2019 Estimating probability is the very core of forecasting. Increasing computing power has enabled researchers to design highly intractable probability models, such that model results are identified through the Monte Carlo method of repeated stochastic ...
Richard Demsyn-Jones
doaj +1 more source
How Monte Carlo heuristics aid to identify the physical processes of drug release kinetics
MethodsX, 2018 We implement a Monte Carlo heuristic algorithm to model drug release from a solid dosage form. We show that with Monte Carlo simulations it is possible to identify and explain the causes of the unsatisfactory predictive power of current drug release ...
Paola Lecca
doaj +1 more source
Smart Monte Carlo: Various tricks using Malliavin calculus [PDF]
Current Monte Carlo pricing engines may face computational challenge for the Greeks, because of not only their time consumption but also their poor convergence when using a finite difference estimate with a brute force perturbation.
Eric Benhamou
core
GeS as an Emerging OTS Material: Atomic Structure and Modeling of ON/OFF Switching
Advanced Functional Materials, EarlyView.The structural puzzle of glassy GeS, an advanced memory‐selector material, has finally been disentangled, revealing a patchwork of mixed tetrahedral and trigonal species. Under a high electric field, over‐ and under‐coordinated Ge and S defects, together with three‐membered rings, form an interconnected network associated with localized and extended ...
Andrey Tverjanovich +13 more
wiley +1 more source
Advanced Functional Materials, EarlyView.Spatially distributing Ti3C2Tx nanosheets into core‐shell architecture, rather than as directly dispersed flakes, mitigates aggregation and enhances photon harvesting. When the Ti3C2Tx core‐shell particles are incorporated into a shape‐memory polymer matrix at an ultralow loading of 0.0024 wt%, the improved photothermal conversion translates into ...
May Maung Zaw +12 more
wiley +1 more source