Results 31 to 40 of about 3,416 (193)

The role of screened exact exchange in accurately describing properties of transition metal oxides: Modeling defects in LaAlO3 [PDF]

, 2013
The properties of many intrinsic defects in the wide band gap semiconductor LaAlO3 are studied using the screened hybrid functional of Heyd, Scuseria, and Ernzerhof (HSE).
Brothers, Edward N., El-Mellouhi, Fedwa, Lucero, Melissa J., Scuseria, Gustavo E.   +3 more
core   +3 more sources

Expanding the applicability of the Gauss-Newton method for a certain class of systems of equations

Journal of Numerical Analysis and Approximation Theory, 2016
We present a new semilocal convergence analysis of the Gauss-Newton method in order to solve a certain class of systems of equations under a majorant condition.
Ioannis K. Argyros, Santhosh George
doaj   +2 more sources

Transmogrifying Fuzzy Vortices

, 2004
We show that the construction of vortex solitons of the noncommutative Abelian-Higgs model can be extended to a critically coupled gauged linear sigma model with Fayet-Illiopolous D-terms.
A. Hanany, A. Hashimoto, Antony Millner, B.A. Berg, D.J. Gross, D.P. Jatkar, E. Witten, H. Ooguri, H.B. Nielsen, H.J. de Vega, I.A.B. Strachan, J. Murugan, J. Murugan, J.A. Harvey, J.A. Harvey, J.A. Harvey, Jeff Murugan, M. Ihl, N. Seiberg, O. Lechtenfeld, O. Lechtenfeld, O. Lechtenfeld, R. Gopakumar, R.S. Ward, T. Vachaspati   +24 more
core   +1 more source

Structural Phase Transitions of the Metal Oxide Perovskites SrTiO3, LaAlO3 and LaTiO3 Studied with a Screened Hybrid Functional [PDF]

, 2012
We have investigated the structural phase transitions of the transition metal oxide perovskites SrTiO$_{3}$, LaAlO$_{3}$ and LaTiO$_{3}$ using the screened hybrid density functional of Heyd, Scuseria and Ernzerhof (HSE06).
Brothers, Edward N., Bulik, Ireneusz W., El-Mellouhi, Fedwa, Lucero, Melissa J., Scuseria, Gustavo E.   +4 more
core   +2 more sources

Poincar\'e inequalities and Newtonian Sobolev functions on noncomplete metric spaces

, 2019
Let $X$ be a noncomplete metric space satisfying the usual (local) assumptions of a doubling property and a Poincar\'e inequality. We study extensions of Newtonian Sobolev functions to the completion $\widehat{X}$ of $X$ and use them to obtain several ...
Björn, Anders, Björn, Jana
core   +1 more source

Convergence Behavior for Newton-Steffensen’s Method under -Condition of Second Derivative

Abstract and Applied Analysis, 2013
The present paper is concerned with the semilocal as well as the local convergence problems of Newton-Steffensen’s method to solve nonlinear operator equations in Banach spaces.
Yonghui Ling, Xiubin Xu, Shaohua Yu
doaj   +1 more source

SEMI-LOCAL CONVERGENCE OF A DERIVATIVE-FREEMETHOD FOR SOLVING EQUATIONS

Проблемы анализа, 2021
We present the semi-local convergence analysis of atwo-step derivative-free method for solving Banach space valuedequations. The convergence criteria are based only on the firstderivative and our idea of recurrent functions.
Gus Argyros, Michael Argyros, Ioannis K. Argyrosv, Santhosh George   +3 more
doaj   +1 more source

On the Q-Convergence and Dynamics of a Modified Weierstrass Method for the Simultaneous Extraction of Polynomial Zeros

Algorithms
In the present paper, we prove a new local convergence theorem with initial conditions and error estimates that ensure the Q-quadratic convergence of a modification of the famous Weierstrass method.
Plamena I. Marcheva, Ivan K. Ivanov, Stoil I. Ivanov   +2 more
doaj   +1 more source

Two-point method for solving nonlinear equation with nondifferentiable operator (in Ukrainian) [PDF]

Математичні Студії, 2011
In the paper we study a combined differential-difference method for solving nonlinear equations with non-differentiable operator. The semilocal convergence of the method is investigated and the order of convergence is established.
S. M. Shakhno, H. P. Yarmola
doaj  

Why Physics Still Matters: Improving Machine Learning Prediction of Material Properties With Phonon‐Informed Datasets

Advanced Intelligent Discovery, EarlyView.
Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez, Cibrán López, Edgardo Saucedo, Teruyasu Mizoguchi, Claudio Cazorla   +4 more
wiley   +1 more source