Biomass Native Structure Into Functional Carbon‐Based Catalysts for Fenton‐Like Reactions
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]
Chiewchan K +3 more
europepmc +1 more source
Electroactive Metal–Organic Frameworks for Electrocatalysis
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]
Rosenberger J +6 more
europepmc +1 more source
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
Collaborative Damage Detection Framework for Rail Structures Based on a Multi-Agent System Embedded with Soft Multi-Functional Sensors. [PDF]
Cheng X, Yao D, Yang L, Dong W.
europepmc +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
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
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
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
Formation control for discrete-time multi-agent system with input and output delays under network attacks. [PDF]
Yuan J, Liu H, Zhang W.
europepmc +1 more source

