Results 131 to 140 of about 5,879,935 (279)

Prospects of Electric Field Control in Perpendicular Magnetic Tunnel Junctions and Emerging 2D Spintronics for Ultralow Energy Memory and Logic Devices

open access: yesAdvanced Functional Materials, EarlyView.
Electric control of magnetic tunnel junctions offers a path to drastically reduce the energy requirements of the device. Electric field control of magnetization can be realized in a multitude of ways. These mechanisms can be integrated into existing spintronic devices to further reduce the operational energy.
Will Echtenkamp   +7 more
wiley   +1 more source

Publication in a Brazilian journal by Brazilian scientists whose papers have international impact

open access: yesBrazilian Journal of Medical and Biological Research, 2010
Nine Brazilian scientists with an outstanding profile of international publications were invited to publish an original article in the same issue of a Brazilian Journal (Anais da Academia Brasileira de Ciências).
R. Meneghini
doaj  

Evaluating Research Activity:Impact Factor vs. Research Factor [PDF]

open access: yes
The Impact Factor (IF) “has moved ... from an obscure bibliometric indicator to become the chief quantitative measure of the quality of a journal, its research papers, the researchers who wrote those papers, and even the institution they work in” ([2], p.
Marco P. Tucci, Silvia Ferrini
core  

Understanding Functional Materials at School

open access: yesAdvanced Functional Materials, EarlyView.
This review outlines strategies for effectively teaching nanoscience in schools, focusing on challenges such as scale comprehension and curriculum integration. Emphasizing inquiry‐based learning and chemistry core concepts, it showcases hands‐on activities, digital tools, and interdisciplinary approaches.
Johannes Claußnitzer, Jürgen Paul
wiley   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

open access: yesAdvanced 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

Journal impact factor: Mathematical and statistical properties

open access: yesУчёные записки Казанского университета: Серия Физико-математические науки
Using a commonly agreed definition of the journal impact factor, its various applications in the mathematical modeling of scientific research were investigated.
A. M. Elizarov, V. V. Pislyakov
doaj   +1 more source

Guides for Developing Hundreds of Novel Chiral MXenes and MBenes Nanosheets/Quantum Dots for Next‐Generation Chiral Engineered Biomaterials Applications

open access: yesAdvanced Healthcare Materials, EarlyView.
The emerging field of MXene/MBene materials has progressed rapidly, advancing diverse research fields, including biomedical engineering, biomedicine, agriculture, and the environment. This nanobiotechnology can tackle longstanding challenges in these areas.
Alireza Rafieerad, Ahmad Amiri
wiley   +1 more source

Some Comments on Egghe’s Derivation of the Impact Factor Distribution [PDF]

open access: yes
In a recent paper, Egghe [Egghe, L. (in press). Mathematical derivation of the impact factor distribution. Journal of Informetrics] provides a mathematical analysis of the rank-order distribution of journal impact factors.
Eck, N.J.P. van, Waltman, L.R.
core   +1 more source

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