Results 241 to 250 of about 2,301,131 (278)

Multicolor Optoelectronic Synapse Enabled by Photon‐Modulated Remote Doping in Solution‐Processed Van Der Waals Heterostructures

open access: yesAdvanced Functional Materials, EarlyView.
Multicolor optoelectronic synapses are realized by vertically integrating solution‐processed MoS2 thin‐film and SWCNT. The electronically disconnected but interactive MoS2 enables photon‐modulated remote doping, producing a bi‐directional photoresponse.
Jihyun Kim   +8 more
wiley   +1 more source

Inter-Channel Error Calibration Method for Real-Time DBF-SAR System Based on FPGA. [PDF]

open access: yesSensors (Basel)
Meng Y   +7 more
europepmc   +1 more source

Highly Selective Toward HER or CO2RR by Regulating Cu Single and Dual Atoms on g‐C3N4

open access: yesAdvanced Functional Materials, EarlyView.
This systematic study provides insights into the design of electrocatalysts for hydrogen evolution reaction (HER) and carbon dioxide reduction (CO2RR). It serves as a useful guide for tuning catalyst architecture toward efficient multifunctional performance by varying synthetic parameters, demonstrating the impact of copper (Cu) species ranging from ...
Wan‐Ting Chen   +9 more
wiley   +1 more source

Phase‐Stable Palladium Hydride Derived from PdCoO2 for Sustainable Hydrogen Evolution Reaction

open access: yesAdvanced Functional Materials, EarlyView.
The exceptionally active β‐PdHx is demonstrated for the hydrogen evolution reaction in acidic media. The fast activation kinetics from the PdCoO2 template are resolved by operando spectroscopy, and isotope‐labeled atom probe tomography quantifies the H content in β‐PdHx. The outstanding stability of the electrocatalyst is attributed to the retention of
Luca Camuti   +10 more
wiley   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

open access: yesAdvanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore   +7 more
wiley   +1 more source

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