Results 71 to 80 of about 61,908 (253)

Cyclic Olefin Copolymers as Versatile Materials for Advanced Engineering Applications

Advanced Functional Materials, EarlyView.
Cyclic olefin copolymers (COCs) are presented as highly versatile materials combining tunable synthesis, excellent optical properties, and mechanical robustness. Their potential spans microfluidics, bioengineering, and advanced electronics, while emerging self‐healing and sustainable solutions highlight future opportunities.
Giulia Fredi, Norma Mallegni, Andrea Dorigato, Mario Milazzo   +3 more
wiley   +1 more source

Quantitative Anderson localization of Schr\"odinger eigenstates under disorder potentials

, 2019
This paper concerns spectral properties of linear Schr\"odinger operators under oscillatory high-amplitude potentials on bounded domains. Depending on the degree of disorder, we prove the existence of spectral gaps amongst the lowermost eigenvalues and ...
Altmann, Robert, Henning, Patrick, Peterseim, Daniel   +2 more
core   +1 more source

Residual‐Lithium‐to‐LiF Conversion Enables a LiF–Fluorinated Carbon Interphase for Reconstruction‐Resistant Ni‐Rich Cathodes

Advanced Functional Materials, EarlyView.
A fluorine‐rich acrylate monomer (PFHEA) was solvent‐free applied to NCM90 and thermally decomposed under Ar to convert residual lithium into LiF and form a pre‐built LiF/fluorinated amorphous carbon (LiF/FC) interphase. The LiF/FC layer suppresses NiO rock‐salt reconstruction and microcrack propagation, lowers interfacial resistance, and improves Li ...
Pangyu Kim, Juyeon Han, Junhyeok Kim, Younghoon Kim, Eunha Seo, Dain Kim, Jeeyoung Yoo   +6 more
wiley   +1 more source

Symmetrized, Perturbed Hyperbolic Tangent-Based Complex-Valued Trigonometric and Hyperbolic Neural Network Accelerated Approximation

Mathematics
In this study, we research the univariate quantitative symmetrized approximation of complex-valued continuous functions on a compact interval by complex-valued symmetrized and perturbed neural network operators.
George A. Anastassiou
doaj   +1 more source

Quantitative Approximation by a Kantorovich-Shilkret quasi-interpolation neural network operator [PDF]

Cubo (Temuco), 2018
Summary: In this article we present multivariate basic approximation by a Kantorovich-Shilkret type quasi-interpolation neural network operator with respect to supremum norm. This is done with rates using the multivariate modulus of continuity. We approximate continuous and bounded functions on \(\mathbb{R}^N\), \(N \in \mathbb{N}\).
openaire   +3 more sources

Historical Foundation and Practical Guideline for Ferroelectric Switching Kinetic Studies

Advanced Functional Materials, EarlyView.
The P and U pulses in the conventional PUND measurements are not identical because of the interplay between switching current and the measurement circuit components. This circuit effect can lead to a shift in polarization transients and misinterpreted physics in the switching kinetics.
Yi Liang, Pat Kezer, John T. Heron
wiley   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

Classes of hypercomplex polynomials of discrete variable based on the quasi-monomiality principle

, 2014
With the aim of derive a quasi-monomiality formulation in the context of discrete hypercomplex variables, one will amalgamate through a Clifford-algebraic structure of signature $(0,n)$ the umbral calculus framework with Lie-algebraic symmetries.
Faustino, Nelson
core   +1 more source

Water Permeates and Plasticizes Amorphous Carbon Dots: Unraveling the Inner Accessibility of the Nanoparticles by Glass Transition Studies

Advanced Materials, EarlyView.
The water permeability of amorphous carbon dots (CDs) is demonstrated by investigating their plasticization. Novel polyamide‐based and amorphous nanoparticles are synthesized by controlling their inner packing density. Water plasticization is evidenced by the decrease of the CDs glass transition temperature with increasing the hydration degree.
Elisa Sturabotti, Valerio Di Lisio, Lucia Cardo, Alessandro Camilli, Estela Moretón Alfonsín, Daniele Cangialosi, Amaia Iturrospe Ibarra, Arantxa Arbe, Maurizio Prato   +8 more
wiley   +1 more source

Opportunities of Semiconducting Oxide Nanostructures as Advanced Luminescent Materials in Photonics

Advanced Materials, EarlyView.
The review discusses the challenges of wide and ultrawide bandgap semiconducting oxides as a suitable material platform for photonics. They offer great versatility in terms of tuning microstructure, native defects, doping, anisotropy, and micro‐ and nano‐structuring. The review focuses on their light emission, light‐confinement in optical cavities, and
Ana Cremades, Pedro Hidalgo, David Maestre, Ruth Martínez‐Casado, Emilio Nogales, Beatriz Rodríguez, G. Cristian Vásquez, Bianchi Méndez   +7 more
wiley   +1 more source