Results 141 to 150 of about 166,859,727 (259)
Advanced Energy Materials, EarlyView.Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park +19 more
wiley +1 more source
The K-Step Spatial Sign Covariance Matrix [PDF]
The Sign Covariance Matrix is an orthogonal equivariant estimator of mul- tivariate scale. It is often used as an easy-to-compute and highly robust estimator.
Yadine, A., Croux, C., Dehon, C.
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Advanced Energy Materials, EarlyView.The application of a generative diffusion model, enhanced with a training data augmentation pipeline retaining the manufacturing process context of electrode microstructures, leads to improved fidelity of the through‐plane tortuosity factor in the AI generated samples.
Victor Ramirez‐Camacho +5 more
wiley +1 more source
Influence function and asymptotic efficiency of the affine equivariant rank covariance matrix. [PDF]
Visuri et al (2001) proposed and illustrated the use of the affine equivariant rank covariance matrix (RCM) in classical multivariate inference problems.
Croux, Christophe, Ollila, E, Oja, H
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Descriptor‐Guided Computational Screening of Non‐Fullerene Acceptor Cores for Organic Solar Cells
Advanced Energy Materials, EarlyView.We screen over 4000 non‐fullerene acceptors using their ionization energy, electron affinity, quadrupole, and dipole moments to select the top‐ten candidates for a given donor polymer. The workflow recovers known high‐performance motifs and reveals how molecular components influence material properties.
Kun‐Han Lin +9 more
wiley +1 more source
NParCov3: A SAS/IML Macro for Nonparametric Randomization-Based Analysis of Covariance
Journal of Statistical Software, 2012 Analysis of covariance serves two important purposes in a randomized clinical trial. First, there is a reduction of variance for the treatment effect which provides more powerful statistical tests and more precise confidence intervals.
Richard C. Zink, Gary G. Koch
doaj
554 The covariance of e(k) = [el(k)e2(k)] is i E{e(k)er(k)}=P(k) =-----.
, 2008 The initial conditions for each estimate are and the initial covariance P(0) is a,(0)=22(0)=E{x(O)} =x0 I Equation (22) can be expanded to yield the transition equations for the submatrices of P(k) shown in (21).
Evolves As, The Covariance
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Applied Economic Perspectives and Policy, EarlyView.ABSTRACT Cultural capital influences a wide range of social and economic outcomes, yet quantitative measures suitable for policy analysis remain limited. We develop county‐level cultural capital indices for the US based on Bourdieu's framework of objectified, embodied, and institutionalized cultural capital.
Pratyoosh Kashyap +2 more
wiley +1 more source
COVID-19 and Lockdown in India: Evaluation using Analysis of Covariance
, 2021 Tak A, Das B, Gahlot S.
europepmc +1 more source
Mathematical Genesis of the Spatio-Temporal Covariance Functions [PDF]
Obtaining new and flexible classes of nonseparable spatio-temporal covariances have resulted in a key point of research in the last years within the context of spatiotemporal Geostatistics.
Montero, JM +2 more
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