Results 221 to 230 of about 11,388 (294)

Machine Learning Accelerated Computational Design of Bio‐Inspired Catalysts in the Nitrogen Reduction Reaction

open access: yesAdvanced Materials, EarlyView.
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano   +5 more
wiley   +1 more source

Vision-Capable LLMs in Microsurgery: A Blinded Comparison of Two AI Models with Expert Microsurgeons in the Appraisal of 200 Experimental Anastomoses. [PDF]

open access: yesMed Sci (Basel)
Esanu V   +15 more
europepmc   +1 more source

A Dual‐Bioresponsive and Programmable Microneedle Matrix as a Bioinspired Coupler for Orchestrating Diabetic Bone Regeneration

open access: yesAdvanced Materials, EarlyView.
This project developed a smart bandage‐like patch (a microneedle array) for repairing diabetic bone damage. It intelligently senses signals from infection and inflammation, then releases its medicines in a specific, timed sequence: first an antibacterial agent, then an anti‐inflammatory agent, and finally growth factors.
Yu Wang   +10 more
wiley   +1 more source

Stabilizing Electrochemical Interfaces With Multifunctional Cobalt Nitride Layers

open access: yesAdvanced Materials Interfaces, EarlyView.
Cobalt nitrides emerged recently as an interesting class of earth‐abundant oxygen evolution catalysts. Herein, plasma‐enhanced atomic layer deposition is used to synthesize multifunctional cobalt nitride layers that simultaneously protect and catalytically activate photoelectrode surfaces.
Matthias Kuhl   +7 more
wiley   +1 more source

Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization

open access: yesAdvanced Materials Technologies, EarlyView.
An Automatic Active Optimization (AAO) strategy integrates machine learning predictors and genetic algorithms in a closed‐loop workflow. By iteratively expanding its dataset with new discoveries, AAO overcomes the limits of conventional methods. This approach finds superior microstructural designs beyond the initial sample space. We demonstrate this on
Wei Yue   +8 more
wiley   +1 more source

Parallel Electrical Integration of Photo Bio Electrochemical Systems (photo‐BESs): Performance Gains and Load Dependency

open access: yesAdvanced Materials Technologies, EarlyView.
Parallel wiring of bioelectrochemical devices with conventional generators unexpectedly boosts output. A biophotovoltaic paired with a solar cell delivers up to 50% more power at low loads than their separate contributions; a plant microbial fuel cell shows similar current gains.
Valeria Marsaglia   +4 more
wiley   +1 more source

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