Results 61 to 70 of about 6,466 (163)
The work presents an innovative method for the preparation of mesoporous carbon materials (MCs) from highly graphitized carbon quantum dots. The zinc‐ion hybrid capacitors assembled with MCs deliver high rate performance and stability, providing promising advancements for future energy storage solutions.
Guoli Zhang +6 more
wiley +1 more source
This paper aims to provide a robust design approach for HAWTs operating in shear flow. This study fills a critical research gap by integrating BEM and vortex theories for blade design in non‐homogeneous inflow conditions. The authors of the paper made an effort to develop and test an experimentally unsophisticated model of a turbine working in shear ...
Agnieszka Dorota Woźniak +2 more
wiley +1 more source
A Deep Learning Approach to Classify Surgical Skill in Microsurgery Using Force Data from a Novel Sensorised Surgical Glove. [PDF]
Xu J +10 more
europepmc +1 more source
Organic neuromorphic electronics powering intelligent sensory and edge computing systems
Organic electronic materials are promising candidates for neuromorphic sensing applications, including chemical, physical, visual, and multimodal sensing, owing to their mechanical softness, biocompatibility, and intrinsic ionic–electronic coupling.
Seungjun Woo +5 more
wiley +1 more source
Star products and strict deformations quantizations
We study the structure of the tori equipped with the Rieffel's star product. In particular we determine their spectrum, their center and the type of their factorial representations. This product is like the Moyal product, but the Neumann unicity of representation of commutation relations which says that the regular representation generates a type one ...
openaire +1 more source
Deep learning‐driven methods for fluorescence imaging denoising
This review evaluates data‐driven deep learning denoising methods that overcome conventional limitations through effective feature extraction and nonlinear modeling. Focusing on fluorescence imaging acquisition under photon‐limited conditions, we delineate cutting‐edge architectures, including supervised learning, unsupervised learning, zero‐shot ...
Xinyu Lu +7 more
wiley +1 more source
Deep Learning Integration in Optical Microscopy: Advancements and Applications
It explores the integration of DL into optical microscopy, focusing on key applications including image classification, segmentation, and computational reconstruction. ABSTRACT Optical microscopy is a cornerstone imaging technique in biomedical research, enabling visualization of subcellular structures beyond the resolution limit of the human eye ...
Pottumarthy Venkata Lahari +5 more
wiley +1 more source
Topological Hopf algebras, quantum groups and deformation quantization
After a presentation of the context and a brief reminder of deformation quantization, we indicate how the introduction of natural topological vector space topologies on Hopf algebras associated with Poisson Lie groups, Lie bialgebras and their doubles ...
Bonneau, Philippe, Sternheimer, Daniel
core +1 more source
Topological Photonic Devices and Circuits at Terahertz Frequencies
This review examines how 3D topological insulators and emerging topological photonic phases enable robust, low‐loss and defect‐immune terahertz devices. Fundamental properties, device implementations and topological transport mechanisms are surveyed, revealing new opportunities for reconfigurable, high‐performance THz components and scalable ...
Samane Kalhor +3 more
wiley +1 more source
The response of graphene and MoS2 monolayers to highly‐charged impinging ions is investigated using nonequilibrium Green functions theory. Electronic correlations are found to have a significantly stronger influence on the ultrafast ion‐induced electron dynamics in MoS2 than in graphene.
Giorgio Lovato +4 more
wiley +1 more source

