Results 101 to 110 of about 727 (223)

Machine Learning Enables Inverse Design of Optically Driven Microscopic Metavehicles

open access: yesAdvanced Optical Materials, EarlyView.
Machine‐learning‐based inverse design is used optimize “metavehicles” — flat microparticles based on metagratings that generate a strong lateral optical force from normally incident light. The optimized design exhibits a force efficiency of ∼88% and a measured propulsion speed in water much higher than previously reported, demonstrating that inverse ...
Vasilii Mylnikov   +2 more
wiley   +1 more source

Circularly Polarized Red‐NIR Emission With High Dissymmetry Factor From Achiral [Mo6I8(OCOC2F5)6]2− Cluster Anion Embedded in a Bent‐Core Liquid Crystal Host

open access: yesAdvanced Optical Materials, EarlyView.
Associating a chiral bent core liquid crystal molecule, that self‐assembles into helical nanofilaments, with an achiral red‐NIR phosphorescent octahedral molybdenum cluster produces a hybrid material exhibiting efficient red‐NIR circularly polarized emission under UV excitation.
Jeanne Rebours   +6 more
wiley   +1 more source

Form and function in biological filaments: a physicist's review. [PDF]

open access: yesPhilos Trans A Math Phys Eng Sci
Cammann J   +3 more
europepmc   +1 more source

Soft Robotic Excretory Care Simulator for Nursing Education: Functional and Perceptual Biomimetics Approach

open access: yesAdvanced Robotics Research, EarlyView.
A soft robotic simulator is developed to replicate the digital removal of feces (DRF), a sensitive yet essential nursing procedure. Integrating soft actuators, sensors, and a realistic rectal model, the simulator balances functional fidelity with perceptual realism. Engineering evaluations and nurse feedback confirm its potential to enhance training in
Shoko Miyagawa   +10 more
wiley   +1 more source

Large Range Curvature Measurement Using FBGs in Two-Core Fiber with Protective Coating. [PDF]

open access: yesMicromachines (Basel)
Chen R   +7 more
europepmc   +1 more source

Formation Control of Multi‐Agent System with Local Interaction and Artificial Potential Field

open access: yesAdvanced Robotics Research, EarlyView.
This article proposes a local interaction‐based formation control method for Multi‐Agent system, integrating consensus and leader‐follower strategies with a stress response mechanism—artificial potential field to reduce communication overhead and enable obstacle avoidance. Experimental results on triangular, square, and hexagonal formations confirm its
Luoyin Zhao   +3 more
wiley   +1 more source

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