Silicon‐Integrated Next‐Generation Plasmonic Devices for Energy‐Efficient Semiconductor Applications
Silicon (Si)‐integrated plasmonics offer a pathway to next‐generation, energy‐efficient semiconductor applications. This review highlights advances using complementary metal–oxide–semiconductor (CMOS)‐compatible materials like transparent conductive oxides and novel architectures, particularly coupled hybrid plasmonic waveguides (CHPWs).
Nasir Alfaraj, Amr S. Helmy
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Supervised and unsupervised rehabilitation of visual field defect: cohort investigation of eye movement training at a clinical setting and at home. [PDF]
Varalta V+5 more
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Solution‐processed high‐performance n‐type doped single‐crystalline organic semiconductor microwires (MWs) are reported. n‐Type dopants are located at the terrace edge of the MW, resulting in rapid doping and high interaction. n‐doped MWs show 5,000 times enhanced photosensitivity than evaporated films and high photo‐neuromorphic characteristics by ...
Yonghee Kim+5 more
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Randomised feasibility study evaluating eye movement desensitisation and reprocessing therapy for functional neurological disorder (MODIFI). [PDF]
Cope SR+11 more
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Toward Advancement of Fabrication Techniques of Neuromorphic Computing Devices Based on 2D Materials
This review highlights emerging fabrication techniques of 2D material‐based neuromorphic devices, emphasizing proximity vapor transfer for bioinspired optoelectronic applications. Abstract The growing necessity for power‐efficient and cognitive computation mechanisms has driven progress in neuromorphic computing which seeks to imitate the synaptic ...
Shubham Umeshkumar Gupta+7 more
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<i>Journal of Eye Movement Research</i>: Opening a New Chapter with MDPI. [PDF]
Groner R.
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Microdroplet Magnetic Field Sensor Utilizing Magneto‐Birefringence Effect
A compact sensor based on birefringent microdroplets of magnetic nanoplatelet suspension enables precise optical detection of magnetic field strength and direction at the microscale. The system offers high sensitivity, fast response, and compatibility with lab‐on‐chip applications.
Martin Horvat+4 more
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Eye movement and pupillary response abnormalities measured using virtual reality as biomarkers in the diagnosis of early-stage Parkinson's disease. [PDF]
Zhao J+10 more
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A machine learning platform is developed to optimize sliced images for digital light processing 3D printing by locally tuning light intensity for higher precision printing. A reduced‐order model accurately predicts the degree of conversion in 3D space to calculate resulting shapes.
Teerapong Poltue+6 more
wiley +1 more source
Deep learning system for the auxiliary diagnosis of thyroid eye disease: evaluation of ocular inflammation, eyelid retraction, and eye movement disorder. [PDF]
Han Y+6 more
europepmc +1 more source