Results 61 to 70 of about 223,713 (274)
In this study, the interplay of dipolar dynamics and ionic charge transport in MOF compounds is investigated. Synthesizing the novel structure CFA‐25 with integrated freely rotating dipolar groups, local and macroscopic effects, including interactions with Cs cations are explored.
Ralph Freund +6 more
wiley +1 more source
Rapid-convergence iterative method for Hertzian point contact theory
Point contact theory between two bodies with constant curvature was built by H. Hertz. His theory is now widely known as "Hertzian contact theory" and it is widely applied to the calculation of the stiffness of ball bearings and CVJs ...
Mototeru OBA
doaj +1 more source
ROUGH CONVERGENCE OF DOUBLE SEQUENCES OF FUZZY NUMBERS
Summary: In this paper, we define the concepts of rough convergence and rough Cauchy sequence of double sequences of fuzzy numbers. Then, we investigate some relations between rough limit set and extreme limit points of such sequences.
Babaarslan, Funda, Tuncer, A. Nihal
openaire +3 more sources
This work explores Li‐substituted P2 layered oxides for Na‐ion batteries by crystallographic and electrochemical studies. The effect of lithium on superstructure orderings, on phase transitions during synthesis and electrochemical cycling and on the interplay of O‐ versus TM‐redox is revealed via various advanced techniques, including semi‐simultaneous
Mingfeng Xu +5 more
wiley +1 more source
Neutrosophic Copson Type Rough I-Statistical Convergent Sequences
The main objective of work is to study the concept of rough I-statistical convergence for Copson-transformation in the setup of neutrosophic normed spaces by considering algebraic and topological properties of the set of rough ideal statistical limit ...
Manpreet Kaur +2 more
doaj +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
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
From Single Atoms to Nanoparticles: Pathways Toward Efficient and Durable Pt/TiO2 Photocatalysts
Platinum single atoms on TiO2 nanosheets evolve into clusters and nanoparticles under ethanol photoreforming and thermal treatments. By controlling deposition and post‐treatments, particle size and location on specific facets are modulated. The study reveals how stability pathways determine efficiency, guiding the design of more durable photocatalysts.
Juan José Delgado +6 more
wiley +1 more source
We describe a rapidly converging algorithm for solving the Kohn--Sham equations and equations of similar structure that appear frequently in calculations of the structure of inhomogeneous electronic many--body systems.
Auer, J., Krotscheck, E.
core +1 more source
This study presents a new hole transporting material (HTM) mechanism for self‐assembled monolayers in near‐infrared organic photodetectors. The formation of zwitterions induces a strong electric field that significantly increases the work function of HTM‐coated indium tin oxide substrates. The devices exhibit low dark current and noise, along with high
Jiyoung Shin +9 more
wiley +1 more source
Machine Learning-Based Signal Detection for CoMP Downlink in Ultra-Dense Small Cell Networks
In the next generation wireless communication systems, high-speed data rate, reliable link quality, and ubiquitous access are necessary requirement. To meet the next generation communication system requirements, the ultra-dense small cell network (SCN ...
Wei-Shun Liao +5 more
doaj +1 more source

