Results 71 to 80 of about 7,816 (264)
The Weierstrass theorem on polynomial approximation [PDF]
Summary: A simple proof of the Weierstrass approximation theorem on a function continuous on a compact interval of the real line is given. The proof is elementary in the sense that it does not use uniform continuity.
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Anion‐exchange doping of conjugated polymers is an effective way to achieve high conductivities. Here, we report over 2000 S cm−1 electrical conductivity for doped P(g3BTTT). In addition, we show that P(g3BTTT) sustains exceptionally high doping levels without any drop in the charge mobility.
Basil Hunger +14 more
wiley +1 more source
AI–Guided 4D Printing of Carnivorous Plants–Inspired Microneedles for Accelerated Wound Healing
This work presents an artificial intelligence (AI)‐guided 4D‐printed microneedle platform inspired by carnivorous plants for wound healing. A thermo‐responsive shape memory polymer enables body temperature–triggered self‐coiling for autonomous wound closure.
Hyun Lee +21 more
wiley +1 more source
On Gonska's problem concerning approximation by algebraic polynomials
Not available.
Ioan Gavrea
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Approximation of Signals (Functions) by Trigonometric Polynomials in Lp-Norm
Mittal and Rhoades (1999, 2000) and Mittal et al. (2011) have initiated a study of error estimates En(f) through trigonometric-Fourier approximation (tfa) for the situations in which the summability matrix T does not have monotone rows.
M. L. Mittal, Mradul Veer Singh
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Polynomial Approximation and Graph-Coloring [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Switchable Magnonic Crystals Based on Spin Crossover/CrSBr Heterostructures
Multiscale modeling is employed to investigate the functionality of a light‐controlled, tunable magnonic crystal based on spin‐crossover Fe‐pz molecules integrated with a monolayer of CrSBr. Ab initio simulations confirm that the molecules remain functional on the CrSBr surface, while a semiclassical elastic model demonstrates that light‐induced ...
Andrei Shumilin +4 more
wiley +1 more source
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano +5 more
wiley +1 more source
Approximation by strongly incomplete polynomials on compact sets
This note presents a question regarding the relationship between approximation by strongly incomplete polynomials on compact subsets K of C $\mathbb{C}$ and the logarithmic capacity of K.
Charpentier Stéphane +1 more
doaj +1 more source
A polynomial approximation for arbitrary functions
6 pages, 1 ...
Michael A. Cohen, Can Ozan Tan
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