Results 51 to 60 of about 19,691 (265)

Time‐Resolved Magnetization Switching Dynamics Driven by Orbital Torques

Advanced Functional Materials, EarlyView.
Du et al. reveal nanosecond magnetization switching driven by orbital currents using time‐resolved Hall detection. The measurements separate domain nucleation from domain wall propagation and show that Joule heating strongly assists switching by lowering energy barriers.
Ao Du, Shilei Ding, Min‐Gu Kang, Marco Hoffmann, Pietro Gambardella   +4 more
wiley   +1 more source

Data Driven Distributed Bipartite Consensus Tracking for Nonlinear Multiagent Systems via Iterative Learning Control

IEEE Access, 2020
This article explores a data-driven distributed bipartite consensus tracking (DBCT) problem for discrete-time multi-agent systems (MASs) with coopetition networks under repeatable operations.
Huarong Zhao, Li Peng, Hongnian Yu
doaj   +1 more source

Broadening learning communities during COVID-19: developing a curricular framework for telemedicine education in neurology

BMC Medical Education, 2021
Background In response to the cancellation of clinical clerkships due to COVID-19, the Johns Hopkins (JH) Neurology Education Team developed a virtual elective to enhance medical students’ clinical telemedicine skills and foster community between ...
Christine E. Gummerson, Brian D. Lo, Kori A. Porosnicu Rodriguez, Zoe L. Cosner, Dylan Hardenbergh, Diana M. Bongiorno, Julia Wainger, Katherine Hu, Charlene Gamaldo, Rachel M. E. Salas, Carlos Romo, Doris G. Leung   +11 more
doaj   +1 more source

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll, Ivan Pinto‐Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll, Payam Habibzadeh Kavkani, Maria Chiara Spadaro, Yann‐Michel Niquet, Martin Børstad Eriksen, Sara Martí‐Sánchez, Georgios Katsaros, Giordano Scappucci, Peter Krogstrup, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Pablo Ordejón, Stephan Roche, Vincenzo Grillo, Jordi Arbiol   +19 more
wiley   +1 more source

QoS- and DiffServ-aware virtual network embedding using GNN and evolutionary algorithms

Discover Artificial Intelligence
Virtual Network Embedding can allocate physical resources through network virtual nodes to maximize resource utilization. However, this technology still faces problems such as poor response performance and low average revenue.
Guiyong Sheng, Li Zhang, Jun Pan, Fujun Wang   +3 more
doaj   +1 more source

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

Highest Rank First: A New Class of Single-Iteration Scheduling Algorithms for Input-Queued Switches

IEEE Access, 2018
In this paper, we study a new class of single-iteration scheduling algorithms for inputqueued switches based on a new arbitration idea called highest rank first (HRF).
Bing Hu, Fujie Fan, Kwan L. Yeung, Sugih Jamin   +3 more
doaj   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles

Advanced Materials, EarlyView.
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung, Jiaxiang Yi, Hieu Nguyen‐Duc, Tien Nu Hoang Lo, Weili Zhao, Chaoqun Dong, Fabien Sorin, Baris Caglar, Lei Wei, Tung Nguyen‐Dang   +9 more
wiley   +1 more source

Artificial intelligence-driven rational design of ionizable lipids for mRNA delivery

Nature Communications
Lipid nanoparticles (LNPs) have proven effective in mRNA delivery, as evidenced by COVID-19 vaccines. Its key ingredient, ionizable lipids, is traditionally optimized by inefficient and costly experimental screening.
Wei Wang, Kepan Chen, Ting Jiang, Yiyang Wu, Zheng Wu, Hang Ying, Hang Yu, Jing Lu, Jinzhong Lin, Defang Ouyang   +9 more
doaj   +1 more source