Results 231 to 240 of about 241,782 (323)

Ultracompact and large-bandwidth silicon modulator in a CMOS-compatible foundry. [PDF]

open access: yesNat Commun
Zhong H   +8 more
europepmc   +1 more source

Dual Bipolar Resistive Switching in Wafer‐Scalable 2D Perovskite Oxide Nanosheets‐Based Memristor

open access: yesAdvanced Science, EarlyView.
A wafer‐scalable memristor based on 2D Sr2Nb3O₁₀ perovskite oxide nanosheets exhibits dual bipolar resistive switching through controllable oxygen ion migration and redox reactions. This single device enables both STDP and anti‐STDP synaptic functions, achieving 86.4% MNIST accuracy in supervised spiking neural networks, offering a compact, energy ...
Sohwi Kim   +11 more
wiley   +1 more source

Compressive sensing techniques based on secure data aggregation in WSNs. [PDF]

open access: yesSci Rep
Madkour ME   +5 more
europepmc   +1 more source

Enhancing Binding by Electron Transfer at Heterointerfaces of Biochar‐Modified Hydrogel to Improve Utilization Efficiency of Wastewater Recovered Nutrients

open access: yesAdvanced Science, EarlyView.
Enhancing the utilization efficiency of nutrients recovered from wastewater is achieved through hydrogel modification by biochar. The strategy improves nutrient binding to hydrogels via electron transfer at heterointerfaces, thereby reducing nutrient release rate.
Hao Hu   +7 more
wiley   +1 more source

Lasing of a cavity-based X-ray source. [PDF]

open access: yesNature
Rauer P   +32 more
europepmc   +1 more source

Dissolution Study of Biodegradable Magnesium Silicide Thin Films for Transient Electronic Applications

open access: yesAdvanced Science, EarlyView.
Magnesium silicide (Mg2Si) is introduced as a narrow‐bandgap, biodegradable semiconductor for transient electronics. RF‐sputtered and annealed Mg2Si thin films show high intrinsic electrical conductivity and low thermal conductivity. The polycrystalline material undergoes hydrolysis in aquatic and composting environments with minimal cytotoxicity ...
Ji‐Woo Gu   +17 more
wiley   +1 more source

Machine Learning‐Enhanced Analysis of Exosomal Surface Sialic Acid Using Surface‐Enhanced Raman Spectroscopy for Ovarian Cancer Diagnosis and Therapeutic Monitoring

open access: yesAdvanced Science, EarlyView.
Machine learning‐assisted surface‐enhanced Raman spectroscopy analysis of exosomal sialic acid for ovarian cancer diagnosis, as well as independent monitoring of exosomal sialic acid expression levels across different treatment periods, reveals a potential correlation with treatment response.
Lili Cong   +6 more
wiley   +1 more source

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