Results 61 to 70 of about 1,244 (210)
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
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
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
Sparse Rectangular and Spiral Array Designs for 3D Medical Ultrasound Imaging
In three-dimensional (3D) medical ultrasound imaging with two-dimensional (2D) arrays, sparse 2D arrays have been studied to reduce the number of active channels.
Hansol Yoon, Tai-Kyong Song
doaj +1 more source
Switchable Magnonic Crystals Based on Spin Crossover/CrSBr Heterostructures
Multiscale modeling is employed to investigate the functionality of a light‐controlled, tunable magnonic crystal based on spin‐crossover Fe‐pz molecules integrated with a monolayer of CrSBr. Ab initio simulations confirm that the molecules remain functional on the CrSBr surface, while a semiclassical elastic model demonstrates that light‐induced ...
Andrei Shumilin +4 more
wiley +1 more source
Sparse Array Design Exploiting the Augmented Conjugate Correlation Statistics for DOA Estimation
With the augmentation of the non-zero conjugate correlation statistics of some modulating signals, enlarged degrees of freedom (DOFs) can be achieved with conventional sparse arrays as proposed by many literatures.
Jinyang Song, Feng Shen, Jiajun Shen
doaj +1 more source
Mechanistically Interpretable Artificial Intelligence for Designing Oxygen Electrocatalysts
Mechanistically interpretable artificial intelligence screens nearly seven million perovskite compositions and identifies key descriptors—d‐p hybridization and densification resistance—that govern oxygen electrocatalysis. The discovered BaCo0.8Nb0.1Zr0.1O3‐δ achieves a record 2.68 W cm−2 peak power density at 600°C with over 500 h of durable operation ...
Xueyu Hu +15 more
wiley +1 more source
Range-azimuth imaging of ground targets via frequency-modulated continuous wave (FMCW) radar is crucial for effective target detection. However, when the pitch of the moving array constructed during motion exceeds the physical array aperture, azimuth ...
Yanwen Han +5 more
doaj +1 more source
Efficient 2D adaptive beamforming algorithm based on sparse array optimisation
In this study, a 2D adaptive beamforming algorithm for sparse array is proposed. Firstly, a signal model based on matrix completion theory for adaptive beamforming in sparse array is established, which is proved to satisfy null space property.
Chaoyu Wang +3 more
doaj +1 more source
This review examines passive, active, and hybrid liquid manipulation strategies, highlighting hybrid approaches as an emerging route to reconcile energy efficiency with adaptive control. By actively reconstructing passive surfaces to store programmable interfacial energy, hybrid systems enable flexible yet low‐power liquid transport, with perspectives ...
Jiaqi Miao +3 more
wiley +1 more source

