Results 51 to 60 of about 18,894 (263)
Low Sidelobe Sparse Concentric Ring Arrays Optimization Using Modified GA
To minimize the peak sidelobe level (PSLL) of sparse concentric ring arrays, this paper presents an optimization method of grid ring radii of these arrays. The proposed method is based on modified real genetic algorithm (MGA); it makes grid ring radii as
Ke-song Chen +3 more
doaj +1 more source
This review examines how cellular behavior is regulated by mechanical cues transmitted through soft biomaterials, from single‐cell mechanosensing to tissue‐level adaptation. It highlights why physiological relevance, rather than model complexity alone, is critical for translational mechanobiology and introduces a scoring framework linking material ...
Mathias Polz +9 more
wiley +1 more source
Symmetric Sparse Linear Array for Active Imaging [PDF]
Sparse sensor arrays can achieve significantly more degrees of freedom than the number of elements by leveraging the co-array, a virtual structure that arises from the far field narrowband signal model. Although several sparse array configurations have been developed for passive sensing tasks, less attention has been paid to arrays suitable for active ...
Koivunen, Visa, Rajamaki, Robin
openaire +2 more sources
Dynamic compression enhances mesenchymal stromal cell proliferation in nonwoven PET scaffolds under chondrogenic differentiation conditions and triggers mechanosensitive transcriptional programs associated with extracellular matrix remodeling. These findings highlight the potential of mechanically stimulated PET scaffolds as a promising platform for ...
Graciosa Quelhas Teixeira +8 more
wiley +1 more source
Mutual coupling error modeling and correction of shared aperture interleaved sparse array antennas
The shared aperture interleaved sparse array antenna is an effective way to implement a multi-function array antenna.The existing parameterized mutual coupling elimination methods are all developed for uniform array antennas.The mutual coupling matrix ...
Junming ZHUANG, Longjun LI
doaj +2 more sources
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 +19 more
wiley +1 more source
The water permeability of amorphous carbon dots (CDs) is demonstrated by investigating their plasticization. Novel polyamide‐based and amorphous nanoparticles are synthesized by controlling their inner packing density. Water plasticization is evidenced by the decrease of the CDs glass transition temperature with increasing the hydration degree.
Elisa Sturabotti +8 more
wiley +1 more source
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Sparse linear nested array for active sensing [PDF]
Publication in the conference proceedings of EUSIPCO, Kos island, Greece ...
Koivunen, Visa, Rajamäki, Robin
openaire +3 more sources
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source

