Results 71 to 80 of about 33,916 (263)
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
Stacked nanoflake assembly (SNA) membranes can oscillate autonomously, offering opportunities for soft actuation and energy harvesting. This work uncovers the physical mechanism behind the sustained oscillation of SNA membranes in gradient humidity and identifies three governing dimensionless parameters, enabling rational design for optimizing SNA ...
Zijing Zhang +5 more
wiley +1 more source
Image Classification and Restoration of Ancient Textiles Based on Convolutional Neural Network
Ancient textile images have a variety of styles and themes, and the classification of different types of textiles provides a reliable reference for the protection and restoration of cultural relics. Due to the low efficiency of traditional classification
Sha Sha +7 more
doaj +1 more source
Materials with combined electromagnetic shielding and efficient thermal management functions are in high demand due to the rapid growth of electronic devices with excessive heat accumulation and electromagnetic interference.
Quan Zhang +7 more
doaj +1 more source
Field‐programmed anisotropy imparts material‐level intelligence to soft composites. Magnetic torque dynamics drive magneto‐piezoelectric nanowires from random dispersion into deterministic axial alignment. The resulting hierarchical percolation networks confine electromechanical coupling to specific axes and intrinsically decouple superposed force ...
Yubin Kim +9 more
wiley +1 more source
Electrically Tunable Heliconical Smectic Superstructure in Polar Fluids
Strong dipole–dipole interactions give rise to an emergent polar smectic phase with spontaneous chiral symmetry breaking. This resulting polar heliconical smectic superstructure enables novel functionalities in polar fluids, such as color modulation driven by electric field strength and frequency, as well as second‐harmonic generation amplification ...
Hiroya Nishikawa +5 more
wiley +1 more source
A large‐area, deformable high‐entropy‐ceramic (HEC)‐doped triboelectric nanogenerator with a trilayer architecture is developed, consisting of an HEC‐doped triboelectric layer, a graphite‐like textile charge‐storage layer, and stretchable carbon black electrodes.
Shengyou Li +13 more
wiley +1 more source
Engineering of Textile Coloration
Keynote of Thesis: This report denotes the laboratory techniques of textile coloration, textile dyes applications and method design as per color requirements to perform as color engineers in textile dyeing and finishing industry.
openaire +2 more sources
Coupled materials design enables a monolithic fiber that integrates complementary sensing regimes into a single wearable strand. By preserving informative signal features across subtle physiological deformation, large body motion, and mixed mechanical inputs, the dual‐gradient architecture generates synchronized, less redundant outputs that improve ...
Yunheum Lee +13 more
wiley +1 more source

