Results 101 to 110 of about 149 (149)
Ultrafast pulsed laser technology enables precise material processing. This study examines molybdenum oxide formation under varying laser parameters. A dataset of 187 samples is generated, and eight deep neural networks (DNNs) with different architectures are trained. Models are validated using three learning rates and evaluated with mean squared error,
Jose R. Paredes‐Miguel+6 more
wiley +1 more source
This work demonstrates the use of reactive laser annealing to selectively tune the epsilon‐near‐zero condition of tin‐doped indium oxide patches integrated in silicon waveguides. This postgrowth annealing technique enables flexible control over the optical constants of transparent conducting oxides (TCOs) at critical telecom wavelengths, paving the way
Juan Navarro‐Arenas+6 more
wiley +1 more source
This work introduces a low‐loss diffractive neural network, fabricated using an imprinting technique with parowax material, for recognizing and manipulating the topological charge of orbital angular momentum (OAM) waves. It is also demonstrated that the low‐loss diffractive network can perform mathematical operations based on the topological charges of
Wei Jia+4 more
wiley +1 more source
Digitized Phase‐Change Material Heterostack for Transmissive Diffractive Optical Neural Network
A phase‐change‐material‐based digitized heterostack is experimentally demonstrated and theoretically analyzed for future energy‐efficient, fast reconfigured, and compact transmissive diffractive optical neural networks. All‐optical and fully reconfigurable transmissive diffractive optical neural network (DONN) architectures emerge as high‐throughput ...
Ruiyang Chen+3 more
wiley +1 more source
This work presents a systematic review of atmospheric turbulence fundamentals, including theoretical formulations and adaptive optics‐based mitigation strategies. This includes an in‐depth examination of the devices, theories, and methodologies associated with traditional correction approaches.
Qinghui Liu+5 more
wiley +1 more source
A low‐cost pipeline curvature detection method has been proposed for an untethered biped pipeline surface climbing robot (BPCR) system with a five‐degree‐of freedom structure. The BPCR features adaptive vacuum suction cups equipped with multiple laser sensors on the suction modules to detect the curvature of various surfaces.
Zikang Li+3 more
wiley +1 more source
Abstract Photochemical C−C coupling reactions can be tailored to industrial chemical processes and preparations of pharmaceuticals. Recent approaches in this area are limited to using precious transition metal coordination complexes that facilitate light absorption and redox processes with benchtop chemicals. Herein, we propose a paradigm that involves
Samjhana Maharjan+9 more
wiley +1 more source
Additive manufacturing, specifically fused deposition modeling, offers an innovative approach to creating 3D‐printed variable orifice flowmeters with integrated temperature compensation. Using carbon‐black TPU, the primary component (a variable orifice) and the secondary element (a diaphragm pressure sensor) are fabricated.
Vincenzo Saroli+2 more
wiley +1 more source
A wearable capacitive eye tracker for chronic fatigue assessment is presented, utilizing cylindrically shaped capacitive sensors made of a carbon nanotube‐paper composite. By integrating a novel fatigue‐induction protocol with machine learning, the device achieves 0.75‐sensitivity and 0.73‐specificity, providing a practical alternative to existing ...
Tianyi Li+6 more
wiley +1 more source
Rigid, lightweight foams for thermal insulation are produced using a universal and scalable method: results are compared between pilot plant trials, four wood residues, pulp, ocean water, and a biosurfactant. Two guidelines for using this method are suggested: use a distribution of rigid wood microparticle sizes and shapes and match the average ...
Elizabeth Dobrzanski+9 more
wiley +1 more source