Advanced Functional Materials, EarlyView.This work describes a novel approach to obtain composite submicrometric structures of nickel hexacyanoferrate integrating trigonal selenium with the aim of enhancing the catalytic efficiency in oxygen evolution reaction (OER). Interestingly, the nanostructures undergo a cube‐to‐sphere transition that optimizes surface properties, leading to superior ...
Edlind Lushaj +10 more
wiley +1 more source
W. Ledermann, Introduction to the Theory of Finite Groups (University Mathematical Texts, Oliver and Boyd, 5th edition, Edinburgh, 1964), x + 174 pp., 10s. 6d. [PDF]
, 1966 C. J. Shaddock
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Corrigendum to "On the dimension of an Abelian group" [Notes on Number Theory and Discrete Mathematics, 2022, Volume 27, Number 4, Pages 267-275] [PDF]
, 2022 Timo Tossavainen, Pentti Haukkanen
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Advanced Functional Materials, EarlyView.Sustainable films with heterosymmetric structures, harmoniously integrating symmetry and asymmetry, are fabricated using cellulose nanocrystals and hydrophilic nanolignin via evaporation‐induced self‐assembly, which exhibit excellent multiple polarization optical properties.
Qun Song +7 more
wiley +1 more source
The mathematical theory of symmetry in solids. Representation theory for point groups and space groupsby C. J. Bradley and A. P. Cracknell [PDF]
, 1973 H. Wondratschek
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Design and Applications of Multi‐Frequency Programmable Metamaterials for Adaptive Stealth
Advanced Functional Materials, EarlyView.This article provides a comprehensive overview of metamaterials, including their fundamental principles, properties, synthesis techniques, and applications in stealth, as well as their challenges and future prospects. It covers topics that are more advanced than those typically discussed in existing review articles, while still being closely connected ...
Jonathan Tersur Orasugh +4 more
wiley +1 more source
Imperfect Bifurcation in Structures and Materials: Engineering Use of Group-Theoretic Bifurcation Theory. Applied Mathematical Sciences, Vol 149 [PDF]
, 2003 Kiyohiro Ikeda +2 more
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Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
Advanced Functional Materials, EarlyView.A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Group Theory in the Bedroom, and Other Mathematical Diversions by Brian Hayes [PDF]
, 2009 Jeanine Daems, Ionica Smeets
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Advanced Functional Materials, EarlyView.Thermally crosslinked poly(2‐vinylpyridine)‐based anion conducting polyelectrolytes have been synthesized. The segmental dynamics of these polyelectrolytes have been systematically modified by varying the degree of crosslinking. Both the experimental and simulation results indicate that segmental dynamics have a limited influence on ion transport in ...
Zhongyang Wang +11 more
wiley +1 more source