Results 121 to 130 of about 61,093 (305)

Soft Skins With Reversible Thickness Morphing: Materials, Mechanisms, and Applications

open access: yesAdvanced Materials, EarlyView.
Evolution of electronic skin (e‐skin) technologies toward adaptive, multifunctional soft skins. Phase I highlights early rigid and discrete sensory interfaces. Phase II shows the transition toward flexible, stretchable, and large‐area e‐skin. Phase III captures the emergence of computational e‐skin.
Oliver Ozioko   +2 more
wiley   +1 more source

Heavy-tailed distributions in VaR calculations [PDF]

open access: yes
The essence of the Value-at-Risk (VaR) and Expected Shortfall (ES) computations is estimation of low quantiles in the portfolio return distributions.
Rafal Weron, Adam Misiorek
core  

Benchmarking Coaxial and Angular Optical Emission Spectroscopy With Recommendations for Reliable Compositional In Situ Monitoring During Laser Powder Bed Fusion

open access: yesAdvanced Materials Technologies, EarlyView.
ABSTRACT Real‐time insight into local chemistry is critical for reliable part quality in additive manufacturing, especially laser powder bed fusion (PBF‑LB/M), where rapid thermal cycles and localized evaporation can undermine part performance. Optical emission spectroscopy (OES) offers non‑intrusive, in situ plume monitoring, but detection geometry ...
Philipp Gabriel   +4 more
wiley   +1 more source

Bayesian Covariance Matrix Estimation using a Mixture of Decomposable Graphical Models [PDF]

open access: yes
Estimating a covariance matrix efficiently and discovering its structure are important statistical problems with applications in many fields. This article takes a Bayesian approach to estimate the covariance matrix of Gaussian data.
Christopher K. Carter   +3 more
core  

Artificial Synaptic Device Based on Self‐Aligned c‐In2O3 TFTs With an Ultrathin MgO Interlayer

open access: yesAdvanced Materials Technologies, EarlyView.
A coplanar synaptic thin‐film transistor based on crystalline In2O3 is demonstrated using a PECVD SiO2 gate insulator and an ultrathin MgO interlayer. The MgO interlayer suppresses excessive carrier density and may facilitate proton‐related interfacial polarization, resulting in stable counterclockwise hysteresis and synaptic behavior.
Samiran Roy, Jewel Kumer Saha, Jin Jang
wiley   +1 more source

Modelling the distribution of day-ahead electricity returns: a comparison [PDF]

open access: yes
This paper contributes to characterizing the probability density of the price returns in some European day-ahead electricity markets (NordPool, APX, Powernext) by fitting some flexible and general families of distributions, such as the alpha-stable ...
Sandro Sapio
core  

Application of the inverse Gaussian distribution to regional flow analysis for the island of Newfoundland [PDF]

open access: yes, 2003
This thesis analyzes how the Inverse Gaussian distribution compares to other statistical distributions for fitting flow data from Newfoundland rivers. Although the 2-parameter Inverse Gaussian distribution is as flexible as most 3-parameter distributions,
Dignard, Suelynn Elizabeth
core  

IMPRECISE RETURN RATES ON THE WARSAW STOCK EXCHANGE

open access: yesQuantitative Methods in Economics, 2014
The return rate in imprecision risk may be described as a fuzzy probabilistic set [Piasecki, 2011a]. On the other side, in [Piasecki, Tomasik 2013] is shown that the Normal Inverse Gaussiandistribution is the best matching probability distribution of ...
Krzysztof Piasecki
doaj  

Directional Latent Hybridization: Beyond Random Noise in Physics‐Informed Generative Inverse Design of Nonlinear Metamaterials

open access: yesAdvanced Materials Technologies, EarlyView.
A physics‐informed generative framework introduces Directional Latent Hybridization (DLH) for the deterministic inverse design of nonlinear metamaterials. By hybridizing dominant traits from parent geometries in the latent space, DLH overcomes the instabilities of stochastic models to ensure high structural precision at high densities.
Semin Ahn   +2 more
wiley   +1 more source

Efficient MCMC and posterior consistency for Bayesian inverse problems [PDF]

open access: yes
Many mathematical models used in science and technology often contain parameters that are not known a priori. In order to match a model to a physical phenomenon, the parameters have to be adapted on the basis of the available data.
Vollmer, Sebastian
core  

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