Results 141 to 150 of about 782,515 (314)
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
Advanced Engineering Materials, EarlyView.This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani +4 more
wiley +1 more source
Bootstrap CI and test statistics for kernel density estimates using Stata [PDF]
In recent years non-parametric density estimation has been extensively employed in several fields as a powerful descriptive tool, which is far more informative and robust than histograms.
Carlo Fiorio
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Advanced Engineering Materials, EarlyView.This study models static recrystallization in interstitial free‐steel using coupled crystal plasticity and phase‐field simulations. The method directly links heterogeneous dislocation density to nucleation site prediction, eliminating reliance on empirical assumptions.
Alireza Rezvani +2 more
wiley +1 more source
A comparison of approaches to estimating confidence intervals for willingness to pay measures [PDF]
This paper describes three approaches to estimating confidence intervals for willingness to pay measures, the delta, Krinsky and Robb and bootstrap methods. The accuracy of the various methods is compared using a number of simulated datasets.
Arne Risa Hole
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Assumption-robust Causal Inference [PDF]
arXivIn observational causal inference, it is common to encounter multiple adjustment sets that appear equally plausible. It is often untestable which of these adjustment sets are valid to adjust for (i.e., satisfies ignorability). This discrepancy can pose practical challenges as it is typically unclear how to reconcile multiple, possibly conflicting ...
arxiv
Toughness of Confined Auxetic Foams
Advanced Engineering Materials, EarlyView.Auxetic (negative Poisson's ratio) materials offer benefits such as impact mitigation, thermal insulation, vibration damping, and reduced shear strain, although their fracture mechanics are largely unexplored. This study investigates damage initiation and propagation in confined re‐entrant auxetic foams from polyurethane via experimental ...
Adrianos E. F. Athanasiadis +3 more
wiley +1 more source
Robust confidence intervals for Hodges–Lehmann median difference [PDF]
The cendif module is part of the somersd package, and calculates confidence intervals for the Hodges–Lehmann median difference between values of a variable in two subpopulations. The traditional Lehmann formula, unlike the formula used by cendif, assumes
Roger Newson
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PRM43 Robustness of Confidence Intervals for Rare Events [PDF]
Value in Health, 2012 Z. Su +3 more
openaire +2 more sources
Advanced Functional Materials, EarlyView.Cellulosic emulsions as multi‐cargo agriculture formulations. Pickering emulsions stabilized by cellulose acetate particles provide an effective platform for delivering a range of agricultural cargoes, including plant growth‐promoting bacteria and agrochemicals.
Mariam Sohail +10 more
wiley +1 more source
The exact distribution of the Hansen-Jagannathan bound [PDF]
Under the assumption of multivariate normality of asset returns, this paper presents a geometrical interpretation and the finite-sample distributions of the sample Hansen-Jagannathan (1991) bounds on the variance of admissible stochastic discount factors,
Cesare Robotti, Raymond Kan
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