Results 91 to 100 of about 270,835 (251)

Biomass Native Structure Into Functional Carbon‐Based Catalysts for Fenton‐Like Reactions

open access: yesAdvanced Functional Materials, EarlyView.
This study indicates that eight biomasses with 2D flaky and 1D acicular structures influence surface O types, morphology, defects, N doping, sp2 C, and Co nanoparticles loading in three series of carbon, N‐doped carbon, and cobalt/graphitic carbon. This work identifies how these structural factors impact catalytic pathways, enhancing selective electron
Wenjie Tian   +7 more
wiley   +1 more source

Water distribution in community irrigation using a multi-agent system. [PDF]

open access: yesJ R Soc N Z, 2023
Chiewchan K   +3 more
europepmc   +1 more source

Electroactive Metal–Organic Frameworks for Electrocatalysis

open access: yesAdvanced Functional Materials, EarlyView.
Electrocatalysis is crucial in sustainable energy conversion as it enables efficient chemical transformations. The review discusses how metal–organic frameworks can revolutionize this field by offering tailorable structures and active site tunability, enabling efficient and selective electrocatalytic processes.
Irena Senkovska   +7 more
wiley   +1 more source

Deep Reinforcement Learning Multi-Agent System for Resource Allocation in Industrial Internet of Things. [PDF]

open access: yesSensors (Basel), 2022
Rosenberger J   +6 more
europepmc   +1 more source

Smart, Bio‐Inspired Polymers and Bio‐Based Molecules Modified by Zwitterionic Motifs to Design Next‐Generation Materials for Medical Applications

open access: yesAdvanced Functional Materials, EarlyView.
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz   +3 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

Economic Load Dispatch of A Multi‐Area Power System Using Multi‐Agent Distributed Optimization Based on Genetic Algorithm

open access: yesEnergy Science & Engineering
This study presents a new methodology for distributed multi‐agent optimization utilizing a genetic algorithm to address Multi‐Area Economic Dispatch Problem (MAEDP) in a power system.
Seyed Yaser Fakhrmousavi   +3 more
doaj   +1 more source

Approach to Organizing the Functioning of Smart Elements in the Multi-Agent “Smart House” System

open access: yesInternational Journal of Industrial Engineering and Production Research, 2020
A research was conducted to form an approach to the design and implementation of a multi-agent control system of smart elements for a “Smart house”. The system was built on the example of three intelligent robots.
I Shostak   +3 more
doaj  

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