Quadratic regression functionals are important for bandwidth selection of nonparametric regression techniques and for nonparametric goodness-of-fit tests. Based on local polynomial regression, we ...

Achieving high efficiency, long operational lifetime, and excellent color purity is essential for organic light-emitting diode (OLED) materials used in next-generation display and lighting ...

We investigate the potential performance improvements of double-hybrid density functionals by replacing the standard scaled opposite-spin MP2 (SOS-MP2) with the modified opposite-spin-scaled MP2 ...

Accurate computational predictions of metal–organic frameworks (MOFs) and their properties are crucial for discovering optimal compositions and applying them in relevant technological areas. This work ...

They provide density functionals parametrizations for the numerical Bethe-Ansatz solution, 43 enabling the description of inhomogeneous Hubbard chains via a local-density approximation (LDA). 44 - 47 ...

This article conducts a large dimensional study of a simple yet quite versatile classification model, encompassing at once multi-task and semi-supervised learning, and taking into account uncertain ...

Annals of Mathematics, a distinguished journal of research papers in pure mathematics, was founded in 1884. Annals of Mathematics is published bimonthly with the cooperation of Princeton University ...

functionals is a lightweight toolkit for functional programming in R with built-in support for parallelism and progress bars. It extends base R’s functional tools with a consistent, minimal API for ...

This article focuses on the dissipative stability issue with load frequency control (LFC) in multiple time-varying delay (MTD) power systems. Firstly, the model is constructed considering the effects ...

Relativistic energy density functionals have become a standard framework for nuclear structure studies of ground state properties and collective excitations over the entire nuclide chart. In this p ...