Results 71 to 80 of about 16,886 (292)

Multimodal Optoelectronic Synapses for Neuromorphic Intelligence: Coupling Light, Electrical, Thermal, and Beyond

open access: yesAdvanced Functional Materials, EarlyView.
This review revisits optoelectronic neuromorphic devices that extend from unimodal sensing toward multimodal perception. Five types of stimuli‐to‐output information flow that are classified based on the device roles within the system and applications are summarized and discussed.
Jihyun Shin   +6 more
wiley   +1 more source

Advancing SafeWax, A Bio‐Inspired Superhydrophobic Coating, Toward Sustainable and Climate‐Resilient Crop Protection

open access: yesAdvanced Functional Materials, EarlyView.
This study advances SafeWax, a bio‐inspired, fatty‐acids‐based superhydrophobic coating, by identifying an agriculturally compliant solvent and revealing how solvent‐controlled Fatty acid crystallization governs the coating's microscopic structure and performance.
Niv Ben‐Arie   +13 more
wiley   +1 more source

Kinetics‐Controlled Architecture of Binder‐Free Organic Electrodes for Enhanced Ion Transport

open access: yesAdvanced Functional Materials, EarlyView.
Pulse reverse electrodeposition controls nucleation and growth to create hierarchically porous Py‐derived oligomeric electrodes with enhanced ionic accessibility and reduced transport resistance. The resulting binder‐free architectures translate these transport advantages into practical sodium‐storage functionality.
Satendra Kumar   +1 more
wiley   +1 more source

SimpleFusion: A Simple Fusion Framework for Infrared and Visible Images [PDF]

open access: yes
Integrating visible and infrared images into one high-quality image, also known as visible and infrared image fusion, is a challenging yet critical task for many downstream vision tasks.
Chen, Ming   +5 more
core   +1 more source

Graph Representation Learning for Infrared and Visible Image Fusion

open access: yesCoRR, 2023
Infrared and visible image fusion aims to extract complementary features to synthesize a single fused image. Many methods employ convolutional neural networks (CNNs) to extract local features due to its translation invariance and locality. However, CNNs fail to consider the image's non-local self-similarity (NLss), though it can expand the receptive ...
Jing Li 0040   +5 more
openaire   +3 more sources

Interactive Feature Embedding for Infrared and Visible Image Fusion [PDF]

open access: yes, 2022
General deep learning-based methods for infrared and visible image fusion rely on the unsupervised mechanism for vital information retention by utilizing elaborately designed loss functions.
Zhao, Fan, Zhao, Wenda, Lu, Huchuan
core  

Image Fusion Through Linear Embeddings

open access: yes, 2021
IEEE International Conference on Image Processing (ICIP) -- SEP 19-22, 2021 -- ELECTR NETWORKThis paper proposes an effective technique for multi-exposure image fusion and visible-infrared image fusion problems. Multi-exposure fusion algorithms generally
Diclehan Karakaya   +5 more
core   +1 more source

Preferential Interfacial Engineering of Hydrogels via Interdigitated Nanoparticle Assembly

open access: yesAdvanced Functional Materials, EarlyView.
Robust surface functionalization of hydrogel surfaces is performed via interdigitated metal nanoparticle assembly, inducing strong affinity with the hydrogel matrix. The partially exposed nanoparticle domains act as interfacial nanobridges that mediate both chemical and physical bonding with diverse materials, including small molecules, fluorous ...
Hyeonjin Kim   +11 more
wiley   +1 more source

Upcycling Keratin‐Based Textile Waste Into High‐Performance Hybrid Fibers Via Tuning the Interfacial Interactions

open access: yesAdvanced Functional Materials, EarlyView.
Keratin recovered from animal‐hair textile waste is fractionated and blended with cellulose to produce continuously spun hybrid fibers. Selecting the high‐molecular‐weight keratin fraction enables 30 wt.% keratin incorporation while maintaining high strength in dry and wet states.
Mian Zhai   +6 more
wiley   +1 more source

An Epigenetic Fate Converter Based on Nuclei‐Targeting Lipid Nanoparticles Drives Neuronal Programming of Stem Cells for Spinal Cord Repair

open access: yesAdvanced Functional Materials, EarlyView.
Schematic illustration of LNP‐MPG nuclei‐targeting delivery of HMW‐FGF2 promoting histone acetylation to regulate the fate of DPSCs and treat spinal cord injury. LNPs components include pHMW‐FGF2 plasmid, DSPC, Dlin‐MC3‐DMA, cholesterol, and PEG2000, and are modified with MPG to form HMW‐FGF2@LNP‐MPG (HLM). HLM nuclei‐targets DPSCs to deliver HMW‐FGF2,
Heng Zhou   +6 more
wiley   +1 more source

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