Materials Advances in Devices for Heart Disease Interventions
This review examines the crucial role of materials in heart disease interventions, focusing on strategies for monitoring, managing, and repairing heart conditions. It discusses the material requirements for medical devices, highlighting recent innovations and their impact on cardiovascular health.
Gagan K. Jalandhra+11 more
wiley +1 more source
Metasurface-Based Image Classification Using Diffractive Deep Neural Network. [PDF]
Cheng K+6 more
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The sidechain doped polymer is investigated to have great potential for pressure detection due to the advantages including molecular rearrangement and charge‐density perturbance induced by micro‐mechanical deformation. This sensor displayed low‐pressure detection limit of 0.7 Pa as well as a rapid response time of 18.8 ms, enabling multi‐mode motion ...
Huimin Lu+14 more
wiley +1 more source
Author Correction: An efficient enhanced stacked auto encoder assisted optimized deep neural network for forecasting Dry Eye Disease. [PDF]
Rajan S, Ponnan S.
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Hessian-free Optimization for Learning Deep Multidimensional Recurrent Neural Networks
Minhyung Cho+2 more
openalex +2 more sources
Electrospinning and Nanofiber Technology: Fundamentals, Innovations, and Applications
This review explores electrospinning fundamentals, methods for synthesizing polymer, metal oxide, carbon, and composite nanofibers, and advancements in fiber architectures like porous, core–shell, and aligned structures. It highlights applications in functional membranes, sensors, energy systems, and catalyst design while addressing future ...
Yujang Cho+5 more
wiley +1 more source
Three-Dimensional Landing Zone Segmentation in Urbanized Aerial Images from Depth Information Using a Deep Neural Network-Superpixel Approach. [PDF]
Morales-Navarro NA+7 more
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Topology in Biological Piezoelectric Materials
This review summarizes the topological structures in biological piezoelectric materials, covering morphology evolution, spatial arrangement, and biomimetic strategies. These topologies modulate structure‐property relationships across multiple scales, enabling performance enhancement and multifunctional integration.
Chen Chen+7 more
wiley +1 more source
Ab initio deep neural network simulations reveal that carbonic acid dissociation is dominated by minority cis-trans conformers. [PDF]
Zhao Y, Tian F, Sun Z.
europepmc +1 more source