Results 61 to 70 of about 3,669,328 (301)
Advanced Science, EarlyView.An antiferroelectric tunnel junction serves as a reservoir computing node, where field‐induced phase transitions and spontaneous ZrO2 relaxation deliver nonlinear fading memory. An In‐Ga‐Zn oxide interlayer enlarges the memory margin and multibit state richness.
Taegyu Kwon +13 more
wiley +1 more source
National Action Plan for Energy Efficiency, Chapter 6: Energy Efficiency Program Best Practices
, 2006 Chapter from the National Action Plan for Energy Efficiency documenting key findings from energy efficiency programs that have been successfully operating for many ...
National Action Plan for Energy Efficiency (U.S.)
core
Advanced Science, EarlyView.Computational simulations of tumor evolution are increasingly used to infer the rules underlying cancer growth, with the goal of one day recommending tailored treatments. Here we show that the properties of lung cancer sequencing data are best replicated by a model which assumes that cells compete both to proliferate and survive. ABSTRACT Computational
Helena Coggan +5 more
wiley +1 more source
Asymptotic properties of a goodness-of-fit test based on maximum correlations [PDF]
We study the efficiency properties of the goodness-of-fit test based on the Qn statistic introduced in Fortiana and Grané (2003) using the concepts of Bahadur asymptotic relative efficiency and Bahadur asymptotic optimality.
Aurea Grane, Anna V. Tchirina
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Learning Work Function via Implicit Reasoning on Electrostatic Potential Landscapes
Advanced Science, EarlyView.StructPot‐CLR establishes a cross‐modal contrastive learning framework that aligns the crystal structures of 2D materials with plane‐averaged electrostatic potential landscapes for physically informed work‐function prediction. The model achieves an MAE of 0.265 eV and an R2 of 0.902 on the held‐out test set while accurately preserving key morphological
Haoyu Wan, Yue Wu, Tianhao Su, Deng Pan
wiley +1 more source
Preliminary Test Estimation for Parallel 2-Sampling in Autoregressive Model
StatsThe purpose of this paper is to discuss the problem of estimation and testing the equality of two autoregressive parameters of two first-order autoregressive processes AR(1), where for each process, the observations are made at different time points. The
Syed Ejaz Ahmed +2 more
doaj +1 more source
Comparing Tests of Autoregressive Versus Moving Average Errors in Regression Models Using Bahadur's Asymptotic Relative Efficiency, [PDF]
The purpose of this paper is to use Bahadur's asymptotic relative efficiency measure to compare the performance of various tests of autoregressive (AR) versus moving average (MA) error processes in regression models.
Michael McAleer, C. R. McKenzie
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Advanced Science, EarlyView.A nuclear‐pore‐inspired nested dual‐loop architecture redistributes electromagnetic energy through coupled transport, confinement, and dissipation pathways. Integrated with Co/Fe3O4 dual‐magnetic composites and topology optimization, the 11‐mm‐thick absorber delivers continuous 2–40 GHz attenuation, raises finite‐band structural utilization to 82%, and
Shaokang Liu +6 more
wiley +1 more source
Physics Letters BMotivated by the similarity to QCD, specifically the property of asymptotic freedom, we simulate the dynamics of the SU(2) × SU(2) model in two dimensions using the Hybrid Monte Carlo algorithm.
Roger Horsley +2 more
doaj +1 more source
Asymptotic Efficiency in Polynomial Estimation
The Annals of Mathematical Statistics, 1961 1. Summary. Asymptotic formulas are obtained for the generalized variance of the least squares estimates in polynomial regression under the assumption that the basic random variables are those of a stationary stochastic process, or a slight generalization of such a process.
openaire +2 more sources