Results 261 to 270 of about 881,350 (316)

Post‐Processing Strengthened 3D Artificial Fingertip with Multi‐Intensity Pain Perception

open access: yesAdvanced Materials Technologies, EarlyView.
The 3D multi‐intensity pain‐perceptive artificial fingertip (HBAF) is designed, whose mechanical and conductive properties are highly improved via novel post‐processing. With the soft adhesive gel layer, which is grown on the base of HBAF, it is seamlessly assembled with the robotic hand and further evaluates the safe factor of gripping.
Huijing Li   +6 more
wiley   +1 more source

Engineering Thermal Emission with Enhanced Emissivity and Quality Factor Using Bound States in the Continuum and Electromagnetically Induced Absorption

open access: yesAdvanced Optical Materials, EarlyView.
A metal‐based thermal metasurface supporting bound states in the continuum is demonstrated and experimentally shown to achieve a record‐high quality factor of 202 and high emissivity of 0.82. The design offers thermally stable, narrowband mid‐infrared emission, making it ideal for high‐precision gas sensing applications.
Guodong Zhu   +8 more
wiley   +1 more source

Advanced Emissivity Tuning Via Femtosecond Laser Surface Engineering

open access: yesAdvanced Optical Materials, EarlyView.
Femtosecond laser surface processing (FLSP) is employed to fabricate titanium‐based metamaterials with engineered micro/nano‐scale features that exhibit spectrally selective and omnidirectional thermal emissivity. By integrating advanced ellipsometry, electromagnetic modeling, and compositional analysis, the work reveals resonance‐driven emissivity ...
Zahra Kamali Khanghah   +8 more
wiley   +1 more source

Inverse Design in Nanophotonics via Representation Learning

open access: yesAdvanced Optical Materials, EarlyView.
This review frames machine learning (ML) in nanophotonics through a classification based on where ML is applied. We categorize methods as either output‐side, which create differentiable surrogates for solving Maxwell's partial differential equations (PDEs), or input‐side, which learn compact representations of device geometry.
Reza Marzban   +2 more
wiley   +1 more source

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