Results 81 to 90 of about 1,008 (247)

Low‐Dimensional Materials and Van Der Waals Heterostructures for Energy Application: A Comprehensive Review

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Low‐dimensional materials (0D, 1D, and 2D) exhibit unique electronic and physicochemical properties, enabling advanced nanoelectronic and optoelectronic devices. Mixed‐dimensional heterostructures combine these materials to enhance functionality.
Qaisar Alam, Sajjad Ali, Pir Muhammad Ismail, ABM Sharif Hossain   +3 more
wiley   +1 more source

Use of artificial intelligence in magnetic resonance imaging across the epileptic patient's journey: A meta‐analysis of four clinical applications

Epilepsia, EarlyView.
Abstract Objective The application of artificial intelligence/machine learning (AI/ML) to magnetic resonance imaging (MRI) promises to enhance and support clinical decision‐making in epilepsy. However, there currently lacks an appropriate assessment of clinical utility and study rigor of current AI/ML‐driven models that are targeted toward supporting ...
Judy Chen, Ella Sahlas, Yigu Zhou, Natalie Chen, Jim Xie, Farhan Wadia, Lorenzo Caciagli, Aristides Hadjinicolaou, Alexander G. Weil, Roy W. Dudley, Dewi V. Schrader, Andrea Bernasconi, Neda Bernasconi, Boris C. Bernhardt   +13 more
wiley   +1 more source

Association smooth-pole dual open-end windings permanent magnet synchronous machine with cascaded 2-level inverters for improved performances

Electrical engineering & Electromechanics
Introduction. Power segmentation is an increasingly important priority in high-power industrial drive applications that utilize AC machines. Problem. To improve the dynamic performance, reliability and power segmentation of drive systems in high-power ...
A. Nayli, S. Guizani, F. Ben Ammar
doaj   +1 more source

Bio‐inspired vision: From principle, material architectures to system‐level integration

FlexMat, EarlyView.
This review introduces the development and mechanism of electronic and ionic bio‐inspired vision devices respectively. Then, it explores the impact of structure on bio‐inspired visual performance from the scale of intrinsic materials and device. Finally, it concludes that only by combining advanced software and technology can more complex vision ...
Zewan Lin, Miaoyi Xu, Xianda Ma, Weifeng Yang, Yuanlong Shao   +4 more
wiley   +1 more source

Multilevel inverter

, 2012
The PRIMES laboratory is a common platform shared by academics and industrialists around power electronics problems such as high temperature packaging or power electronics reliability. Because of its new development, new equipments have to be d In the field of power electronics, a multilevel inverter has to be designed.
openaire   +2 more sources

Ferroelectricity and Ferroionic Dynamics in Two‐Dimensional CuInP2S6

Information &Functional Materials, EarlyView.
The coupled dynamics of ferroelectric polarization and Cu‐ion migration endow CuInP2S6 with unique ferroionic functionalities. This review connects structure, switching mechanisms, and device applications to provide a unified perspective on two‐dimensional ferroionic materials.
Shangsheng Li, Shiyu Wang, Xiongfeng Wang, Qinglin Du, Ruochen Shangguan, Guoqiang Xi, Lin Wang, Wugang Liao   +7 more
wiley   +1 more source

Renewable energy resource integrated multilevel inverter using evolutionary algorithms

Automatika
In this paper, with the development of an intelligent power system idea, sustainable energy sources were increasingly deployed, including transmission and distribution systems networks.
B. Gopinath, S. Suresh, G. Jayabaskaran, M. Geetha   +3 more
doaj   +1 more source

Endohedral fullerenes as qubits: From synthesis to quantum computing applications

InfoMat, EarlyView.
Endohedral fullerenes emerge as promising platforms for qubits and qudits. This review surveys the primary synthesis routes, from arc‐discharge to high‐yield molecular surgery. It then details spin manipulation and readout in key systems, including metal‐based, cluster, and nitrogen‐containing fullerenes.
Jeong‐Seok Nam, Jiye Han, Jin‐Myung Choi, Franklin H. Cho, Daniel K. Park, Seunghee Park, Yoshifumi Hashikawa, Yasujiro Murata, Eunsang Kwon, Dong‐Hwan Kim, Junki Kim, Il Jeon   +11 more
wiley   +1 more source

Toward an idiographic understanding of the role of sleep‐mood dynamics in adolescents' internalizing symptoms

JCPP Advances, EarlyView.
Abstract Background Adolescence is marked by increased vulnerability to sleep disturbances and mood disorders. Understanding how day‐to‐day changes in sleep and mood are linked within the same individual is crucial for clarifying sleep's role in emerging internalizing disorders. However, the extent to which an adolescent's fluctuations in sleep predict
Konstantin Drexl, Setareh Ranjbar, Sébastien Urben, Kerstin Jessica Plessen, Jennifer Glaus   +4 more
wiley   +1 more source

How Can Teams Benefit From AI Team Members? Exploring the Effect of Generative AI on Decision‐Making Processes and Decision Quality in Team–AI Collaboration

Journal of Organizational Behavior, EarlyView.
ABSTRACT Human teams with distributed knowledge can make high‐quality decisions but often fail due to decision‐making asymmetries. As AI team members become integrated collaborators, understanding how AI can reduce these decision‐making asymmetries is essential. However, little is known about how AI team members can reduce these asymmetries and whether
Désirée Zercher, Ekaterina Jussupow, Ivo Benke, Armin Heinzl   +3 more
wiley   +1 more source