Results 111 to 120 of about 50,240 (308)
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
Robustness of Triple Sampling Inference Procedures to Underlying Distributions
, 2010 In this study, the sensitivity of the sequential normal-based triple sampling procedure for estimatingthe population mean to departures from normality is discussed.
Yousef, Ali Saleh Ali
core
Advanced Energy Materials, EarlyView.A photothermally enhanced hydrogel‐based thermoelectrochemical cell enables passive conversion of low‐grade heat and solar energy into electricity. The quasi‐solid device achieves high thermopower and stable long‐term operation under passive conditions.
Matteo Bevione +2 more
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Journal of High Energy PhysicsWe compute the asymptotic safety landscape stemming from ultraviolet-complete photon-graviton flows in a field theoretic setup, and we confront it with the weak gravity conjecture and, for the first time, with positivity bounds.
Benjamin Knorr, Alessia Platania
doaj +1 more source
Singularly Perturbed Elliptic Dirichlet Problem with Three-band Boundary Layer
Моделирование и анализ информационных систем, 2017 . A singularly perturbed elliptic problem with Dirichlet boundary conditions is considered in the case of multiple roots of the degenerate equation. A three-zone boundary layer arises in the vicinity of the domain boundary with a different scale of ...
Vera A. Beloshapko
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Sustainable Productivity Growth in Agriculture: The Role of Shifts in R&D Investments and Technology
Applied Economic Perspectives and Policy, EarlyView.ABSTRACT The objective of the paper is to evaluate the long‐term prospects of sustainable productivity growth linked to plausible assumptions on public agricultural R&D investments as the key productivity driver. Second, it investigates the role of changing R&D focus from yield maximization to input saving technologies (fertilizers and pesticides). The
Zuzana Smeets Křístková +4 more
wiley +1 more source
Do We Really Need Both BEKK and DCC? A Tale of Two Multivariate GARCH Models [PDF]
The management and monitoring of very large portfolios of financial assets are routine for many individuals and organizations. The two most widely used models of conditional covariances and correlations in the class of multivariate GARCH models are BEKK ...
Michael McAleer, Massimiliano Caporin
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Asymptotic models for planetary scale atmospheric motions
, 2008 Observations indicate the existence of a large number of low-frequency (periods longer than 10 days) atmospheric regimes with planetary spatial scales (of the order of the earth's radius, ca.
Dolaptchiev, S.
core
Higher-order asymptotic homogenization of periodic materials with low scale separation
, 2016 In this work, we investigate the limits of classical homogenization theories pertaining to homogenization of periodic linear elastic composite materials at low scale separations and demonstrate the effectiveness of higher-order periodic homogenization in
Geers, M.G.D +2 more
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Applied Economic Perspectives and Policy, EarlyView.ABSTRACT In recent decades, agriculture has become increasingly concentrated through horizontal mergers and acquisitions via corporate entities, and policy makers are concerned this will be exacerbated by the aging population of farm operators. To reduce market concentration in agriculture, many states have enacted policies to entice new prospective ...
Justin M. Ross +2 more
wiley +1 more source