Results 141 to 150 of about 6,153,719 (345)

Fractional Skyrmion Tubes in Chiral‐Interfaced 3D Magnetic Nanowires

Advanced Functional Materials, EarlyView.
In chiral 3D helical magnetic nanowires, the coupling between the geometric and magnetic chirality provides a way to create topological spin states like vortex tubes. Here, it is demonstrated how the breaking of this coupling in interfaced 3D nanowires of opposite chirality leads to even more complex topological spin states, such as fractional ...
John Fullerton, Naëmi Leo, Jakub Jurczyk, Claire Donnelly, Dédalo Sanz‐Hernández, Luka Skoric, Nicholas Mille, Stefan Stanescu, Donald A MacLaren, Rachid Belkhou, Aurelio Hierro‐Rodriguez, Amalio Fernández‐Pacheco   +11 more
wiley   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

Statistical convergence through de la Vallée-Poussin mean in locally solid Riesz spaces [PDF]

, 2013
S. A. Mohiuddine, Abdullah Alotaibi, M. ‎Mursaleen   +2 more
openalex   +1 more source

Sonication‐Assisted Palladium Nanogaps in a Capacitive Structure: A Tunable and Reliable Solution for Sensitive Hydrogen Monitoring

Advanced Functional Materials, EarlyView.
This study presents a capacitive hydrogen sensor with a simple structure and process. Sonication‐induced Pd nanogaps modulate the effective electrode area in response to hydrogen concentration, resulting in capacitance changes within a range predefined by physical parameters.
Sang‐kil Lee, Joonho Lee, Jiwoo Hong, Seyoung Park, Eugene Cho, Seunghyun Lee, Keunhyung Lee, Hyun‐Sook Lee, Kyu Hyoung Lee, Wooyoung Lee   +9 more
wiley   +1 more source

Chromaticity Control in Light‐Emitting Electrochemical Cells via Thermally Activated Emission in Assemblies of a BN‐Doped Pyrenyl Hydrocarbon

Advanced Functional Materials, EarlyView.
The successful color control in light‐emitting electrochemical cells based on highly emissive green‐emitting BN‐doped polyaromatic hydrocarbon with thermally activated NIR emitting assemblies. Abstract This work outlines the synthesis and photo‐/electro‐luminescent behavior of a new C‐shaped BN‐doped benzenoid hydrocarbon using N‐directed borylation in
Luca M. Cavinato, Marco Franceschini, Laura Caputo, Jean‐Christophe Charlier, Marc de Wergifosse, Davide Bonifazi, Rubén D. Costa   +6 more
wiley   +1 more source

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

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

KOROVKIN THEOREM VIA STATISTICAL e-MODULAR CONVERGENCE OF DOUBLE SEQUENCES

, 2018
Sevda Yıldız
openalex   +2 more sources

The Synergy of Artificial Intelligence and 3D Bioprinting: Unlocking New Frontiers in Precision and Tissue Fabrication

Advanced Functional Materials, EarlyView.
Advances in integrating artificial intelligence into 3D bioprinting are systematically reviewed here. Machine learning, computer vision, robotics, natural language processing, and expert systems are examined for their roles in optimizing bioprinting parameters, real‐time monitoring, quality control, and predictive maintenance.
Joao Vitor Silva Robazzi, Irem Deniz Derman, Deepak Gupta, Logan Haugh, Yogendra Pratap Singh, Vaibhav Pal, Yasar Ozer Yilmaz, Suihong Liu, Andre Luis Dias, Rogerio Andrade Flauzino, Ibrahim Tarik Ozbolat   +10 more
wiley   +1 more source

Application of f-lacunary statistical convergence to approximation theorems. [PDF]

J Inequal Appl, 2018
Bhardwaj VK, Dhawan S.
europepmc   +1 more source