Results 81 to 90 of about 155,131 (262)
Responsive Visible‐Wavelength Metasurfaces from Porous Silicon Based on Fano Guided‐Mode Resonance
The article introduces mesoporous silicon metasurfaces (pSi‐MS) supporting Fano guided‐mode resonances in the visible regime. By combining top‐down lithographic patterning of 2D gratings with bottom‐up electrochemical porosification, the approach realizes a new class of responsive metasurfaces, enabling highly sensitive and portable platforms for small
Tomoshree Dash +4 more
wiley +1 more source
Optical Diversity and Nanostructural Organization in the Colored Scales of Sternotomis
Vivid colors in Sternotomis beetles originate from nanoscale photonic architectures embedded within individual scales. Here, we provide a comparative optical and structural analysis of 57 scale types that reveal how ordered, quasi‐ordered, and disordered 3D networks tune color, saturation, and angular response.
Viola Bauernfeind +5 more
wiley +1 more source
Radiative Cooling by Green(er) Solvents‐Upcycled Polyvinyl Chloride From Drug Blisters Waste
This study explores upcycling poly(vinyl chloride) (PVC) from used pharmaceutical blisters into sustainable radiative cooling materials. Using solvent separation and membrane fabrication, PVC was converted into white membranes paired with aluminum foil.
Andrea Lanfranchi +2 more
wiley +1 more source
TacScope: A Miniaturized Vision‐Based Tactile Sensor for Surgical Applications
TacScope is a compact, vision‐based tactile sensor designed for robot‐assisted surgery. By leveraging a curved elastomer surface with pressure‐sensitive particle redistribution, it captures high‐resolution 3D tactile feedback. TacScope enables accurate tumor detection and shape classification beneath soft tissue phantoms, offering a scalable, low‐cost ...
Md Rakibul Islam Prince +3 more
wiley +1 more source
Waveguide Photoactuators: Materials, Fabrication, and Applications
Waveguide photoactuators convert guided light into mechanical motion. Their tethered‐flexible design enables minimally invasive surgery and confined‐space robotics. This review aims to guide materials selection, device design, and system integration, accelerating the transition of waveguide photoactuators from laboratory prototypes to versatile ...
Minjie Xi +4 more
wiley +1 more source
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar +8 more
wiley +1 more source
This study explores how information processing is distributed between brains and bodies through a codesign approach. Using the “backpropagation through soft body” framework, brain–body coupling agents are developed and analyzed across several tasks in which output is generated through the agents’ physical dynamics.
Hiroki Tomioka +3 more
wiley +1 more source
Muscle cell‐based biohybrid robot using nanomaterials for function enhancement and neural function for biomedical applications. Biohybrid robotics, an emerging field combining biological tissues with artificial systems, has made significant progress in developing various biohybrid constructs, including muscle‐cell‐driven biorobots and microbots.
Minkyu Shin +4 more
wiley +1 more source
Modular, Textile‐Based Soft Robotic Grippers for Agricultural Produce Handling
This article introduces textile‐based pneumatic grippers that transform simple textiles into robust bending actuators. Detailed experiments uncover how cut geometry and fabric selection shape performance. Successful handling of fragile agricultural items showcases the potential of textile robotics for safe, scalable automation in food processing and ...
Zeyu Hou +4 more
wiley +1 more source
This research deciphers the m6A transcriptome by profiling its sites and functional readout effects: from mRNA stability, translation to alternative splicing, across five different cell types. Machine learning model identifies novel m6A‐binding proteins DDX6 and FXR2 and novel m6A reader proteins FUBP3 and L1TD1.
Zhou Huang +11 more
wiley +1 more source

