Results 61 to 70 of about 1,227,664 (287)

Cr1/4NbSe2‐Single Crystal Growth and Evolution of Antiferromagnetic Correlated States

open access: yesAdvanced Science, EarlyView.
High‐quality single crystals Cr1/4NbSe2 were synthesized and comprehensively characterized for the first time. Advanced structural, electronic, and magnetic measurements uncover a correlated antiferromagnetic state, resolving longstanding inconsistencies regarding magnetic behavior derived from earlier polycrystal studies.
Nour Abdelrahman   +16 more
wiley   +1 more source

Degenerate complex Hessian equations on compact Hermitian manifolds

open access: yes, 2023
International audienceIn this note we provide uniform a priori estimates for solutions to degenerate complex Hessian equations on compact hermitian manifolds.
Guedj, Vincent, Lu, Chinh H.
core   +2 more sources

Hessian estimates for convex solutions to quadratic Hessian equation

open access: yesAnnales de l'Institut Henri Poincaré C, Analyse non linéaire, 2019
We derive Hessian estimates for convex solutions to quadratic Hessian equation by compactness argument. Résumé Nous dérivons des estimations de Hessian pour des solutions convexes à l'équation de Hessian quadratique par argument de compacité.
Matt McGonagle, Chong Song, Yu Yuan
openaire   +4 more sources

pyDMS: A Python package for the determination of physics‐informed dual‐mode sorption (DMS) parameters

open access: yesAIChE Journal, EarlyView.
Abstract Sorption in glassy polymer membranes is commonly modeled with the dual‐mode sorption (DMS) model. Fitting the DMS model to sorption isotherms presents challenges, as multiple parameter sets may prove satisfactory. This work presents pyDMS, an open‐source Python package for the computation of DMS parameters obtained via a physics‐informed ...
Brandon C. Tapia   +4 more
wiley   +1 more source

Complex Hessian Equations on Some Compact Kähler Manifolds

open access: yesInternational Journal of Mathematics and Mathematical Sciences, 2012
On a compact connected 2m-dimensional Kähler manifold with Kähler form ω, given a smooth function f:M→ℝ and an integer ...
Asma Jbilou
doaj   +1 more source

Gaussian Process Regression–Neural Network Hybrid with Optimized Redundant Coordinates: A New Simple Yet Potent Tool for Scientist's Machine Learning Toolbox

open access: yesAdvanced Intelligent Discovery, EarlyView.
A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley   +1 more source

Local Integral Estimates for Quasilinear Equations with Measure Data

open access: yesThe Scientific World Journal, 2016
Local integral estimates as well as local nonexistence results for a class of quasilinear equations -Δpu=σP(u)+ω for p>1 and Hessian equations Fk-u=σP(u)+ω were established, where σ is a nonnegative locally integrable function or, more generally, a ...
Qiaoyu Tian   +3 more
doaj   +1 more source

Multi-order analytical solving computation of rainstorm causal decomposition during typhoons using a designed key–lock quasi-Newton optimizing derivation

open access: yesHeliyon, 2023
To precisely identify multi-dimensional spatiotemporal rain-making parameters, generate an approximate Hessian matrix, and solve the nonlinear ill-posed problem, this study uses composite logical tangent hyperbolic functions to construct the rain ...
Chien-Lin Huang   +3 more
doaj   +1 more source

Singular solutions to conformal Hessian equations

open access: yesChinese Annals of Mathematics, Series B, 2017
We show that for any $ε\in ]0,1[$ there exists an analytic outside zero solution to a uniformly elliptic conformal Hessian equation in a ball $B\subset\R^5$ which belongs to $C^{1,ε} (B)\setminus C^{1,ε+} (B)$.
Nadirashvili, Nikolai, Vlăduţ, Serge
openaire   +3 more sources

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source

Home - About - Disclaimer - Privacy