Results 51 to 60 of about 31,026 (267)
New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare +5 more
wiley +1 more source
Asymptotic Properties of Backfitting Estimators
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +2 more sources
Multilayer Self‐Limiting Electrospray Deposition via Stepped Voltage Bias
Self‐limiting electrospray deposition (SLED) uses a high voltage to generate and deposit a charged payload on a target surface. The coating retains its charge, repelling newly arriving material. SLED thickness can be decreased by applying a secondary bias to the target.
Madhuri Deb +3 more
wiley +1 more source
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone +11 more
wiley +1 more source
M-test in linear models with negatively superadditive dependent errors
This paper is concerned with the testing hypotheses of regression parameters in linear models in which errors are negatively superadditive dependent (NSD). A robust M-test base on M-criterion is proposed. The asymptotic distribution of the test statistic
Yuncai Yu +3 more
doaj +1 more source
This work reports a direct, biocompatible method to synthesize UiO‐66, enabling one‐step encapsulation of proteins without compromising crystallinity or activity. Using advanced in situ and ex situ techniques, the study reveals that proteins integrate concurrently with MOF growth, forming crystalline protein@UiO‐66 nanoparticles, and provide insight ...
Jesús Cases Díaz +5 more
wiley +1 more source
Asymptotic Comparison of Parameters Estimates of Two-parameter Weibull Distribution
The Weibull distribution is frequently applied in various fields, ranging from economy, business, biology, to engineering. This paper aims at estimating the parameters of two-parameter Weibull distribution are determined.
Tereza Konečná, Zuzana Hübnerová
doaj +1 more source
A Note on Estimation for the First Order Autoregressive Process [PDF]
The asymptotic estimation of the parameters of the first order stationary autoregressive process with zero mean is investigated. The exact and the asymptotic Bayes esti- mates of the weight and the error variance parameters are derived for different ...
A.M. Abouammoh, A.A. Abd-Alla
doaj +1 more source
Rethinking Charge Transport and Recombination in Donor‐Diluted Organic Solar Cells
Organic solar cells with 1–45% PM6 content in Y12 were studied to link structure and charge dynamics to performance. The conductivity follows a 3D percolation model without a sharp threshold. Donor dilution preserves the photogeneration yield, but limits the fill factor due to transport resistance losses.
Chen Wang +14 more
wiley +1 more source
Fast, Asymptotically Efficient, Recursive Estimation in a Riemannian Manifold
Stochastic optimisation in Riemannian manifolds, especially the Riemannian stochastic gradient method, has attracted much recent attention. The present work applies stochastic optimisation to the task of recursive estimation of a statistical parameter ...
Jialun Zhou, Salem Said
doaj +1 more source

