Results 91 to 100 of about 1,691,025 (355)

Influence of Hysteresis on Magnetocaloric Performance at Cryogenic Temperatures: A Tb3Ni Case Study

Advanced Functional Materials, EarlyView.
The existence of an inverse magnetocaloric effect in metamagnetic materials at cryogenic temperatures is investigated using multiple methods. Contrary to predictions from magnetization data, neither specific heat nor pulsed‐field measurements show such a cooling effect, instead indicating irreversible heating.
Timo Niehoff, Benedikt Beckmann, Konstantin Skokov, Aritz Herrero, Alberto Oleaga, Eduard Bykov, Catalina Salazar Mejía, Marc Straßheim, Oliver Gutfleisch, J. Wosnitza, Tino Gottschall   +10 more
wiley   +1 more source

Curie point Depth and Heat Flow Analyses over Part of Bida Basin, North Central Nigeria using Aeromagnetic Data

Journal of Earth Energy Engineering, 2019
This study attempt to estimate the Curie point depth (CPD) and heat flow using high resolution aeromagnetic data over part of Bida basin bounded with longitude 5o00’E – 6o30’E and Latitude 8o30’N – 9o30’N with an estimated total area of 18,150 km2.
Taiwo Adewumi, Kazeem Adeyinka Salako, Sunday Obadare Adediran, Oke Israel Okwokwo, Yusuf A Sanusi   +4 more
doaj   +1 more source

Polynomial zerofinders based on Szegő polynomials

Journal of Computational and Applied Mathematics, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ammar, G.S., Calvetti, D., Gragg, W.B., Reichel, L.   +3 more
openaire   +3 more sources

Artificial Intelligence‐Driven Development in Rechargeable Battery Materials: Progress, Challenges, and Future Perspectives

Advanced Functional Materials, EarlyView.
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu, Junyuan Lu, Jian Hui, Ziyuan Rao, Yang Ren, Hong Wang   +5 more
wiley   +1 more source

Selective Laser Sintering 3D Printing of Drug‐Loaded Intravitreal Implants

Advanced Functional Materials, EarlyView.
Selective laser sintering enables the fabrication of biodegradable and biocompatible intravitreal implants with tunable microstructures for sustained drug delivery. By modulating laser scanning speed, the polymer matrix architecture is engineered to control the release kinetics of dexamethasone and riboflavin over several months. This approach offers a
Iria Seoane‐Viaño, Carlos Bendicho‐Lavilla, Haya Alfassam, Bárbara Blanco‐Fernández, Abdul W. Basit, Francisco J. Otero‐Espinar   +5 more
wiley   +1 more source

Upper Bounds of the Complexity of Functions over Finite Fields in Some Classes of Kroneker Forms

Известия Иркутского государственного университета: Серия "Математика", 2015
Polynomial representations of Boolean functions have been studied well enough. Recently, the interest to polynomial representations of functions over finite fields and over finite rings is being increased.
A.S. Baliuk, G.V. Yanushkovsky
doaj  

On Ranks of Polynomials

Algebras and Representation Theory, 2018
Let $V$ be a vector space over a field $k, P:V\to k, d\geq 3$. We show the existence of a function $C(r,d)$ such that $rank (P)\leq C(r,d)$ for any field $k,char (k)>d$, a finite-dimensional $k$-vector space $V$ and a polynomial $P:V\to k$ of degree $d$ such that $rank(\partial P/\partial t)\leq r$ for all $t\in V-0$.
Kazhdan, David, Ziegler, Tamar
openaire   +3 more sources

Recycling of Thermoplastics with Machine Learning: A Review

Advanced Functional Materials, EarlyView.
This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque, Florian Stephan, Annalena Pongratz, Christian Brütting, Katharina Krause, Holger Ruckdäschel   +5 more
wiley   +1 more source

On bicomplex polynomials

AIP Conference Proceedings, 2018
In this study, we examine polynomials with bicomplex coefficient and bicomplex variables. We investigate the roots of bicomplex polynomials by idempotent bases of bicomplex numbers and classified these roots. © 2018 Author(s).
Halici, Serpil, Aslan, S.
openaire   +6 more sources

The Hierarchical Structure of Sheep Wool and Its Impact on Physical Properties

Advanced Functional Materials, EarlyView.
Sheep wool, a prevalent α‐keratinous fiber, is an essential model for studying protein‐based fibers. Its genetic diversity across breeds enables the establishment of multiscale structure‐property relationships, uncovering previously elusive insights into wool's hierarchical structure.
Serafina R. France Tribe, Paloma X. Lee, Caterina Czibula, Mónica G. Simões, Reiner Bleher, Keith E. Duncan, Michael Thoman, Christopher N. Topp, Vinayak P. Dravid, Cécile A. C. Chazot   +9 more
wiley   +1 more source