Results 191 to 200 of about 242,378 (342)

Physical Implementation of Optical Material‐Based Neural Networks Processing Enabled by Long‐Persistent Luminescence

open access: yesAdvanced Science, EarlyView.
This study reports on the physical implementation of optical material‐based neural processing using long‐persistent luminescence as memory‐retention and nonlinear optical material. The system performs optical‐domain preprocessing with opto‐electronic interfaces for stimulus delivery and readout, enabling real‐time demonstrations including Pong gameplay
Sangwon Wi, Yunsang Lee
wiley   +1 more source

Surface Engineering on Transition Metal Dichalcogenides: In Situ Encapsulation of Metal–Organic Frameworks for Highly Humidity‐Resistant Gas Sensing at Room Temperature

open access: yesAdvanced Science, EarlyView.
2D UiO‐66‐NH2/MoS2 was fabricated via an aqueous synthesis method to in situ encapsulation of MoS2 with 2D UiO‐66‐NH2 MOF. The humidity‐resistant NO2 sensing of 2D UiO‐66‐NH2/MoS2 at room temperature was accordingly enhanced by MOF encapsulation layer, along with the selectivity and stability.
Junwei Zeng   +5 more
wiley   +1 more source

El método del factor Bayes para la investigación en Dermatología

open access: yesActas Dermo-Sifiliográficas, 2022
C. Ramos-Vera
doaj   +1 more source

Enzyme‐Activated MRI for In Vivo Glucose Imaging via a Biodegradable Chromium Nanoprobe

open access: yesAdvanced Science, EarlyView.
Enzyme‐activated MRI (eaMRI) using a biodegradable CrGOx@Lip nanoprobe enables glucose‐specific imaging in vivo. GOx catalyzes glucose oxidation, triggering in situ formation of paramagnetic chromium gluconate and amplifying T1. This radiation‐free strategy maps tumor glucose uptake via the Warburg‐effect, quantifies hepatic glucose accumulation in ...
Yan Xu   +6 more
wiley   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

open access: yesAdvanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu   +6 more
wiley   +1 more source

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