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Multi-objective optimization of laser cladding for 316L stainless steel with hierarchical microstructure and strength-ductility synergy

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s40684-022-00492-2openalex-snapshot
Modeling and Optimization Method of Laser Cladding Based on GA-ACO-RFR and GNSGA-II
inferredcites →https://doi.org/10.1016/j.egyr.2023.05.162openalex-snapshot
Research on short-term load forecasting of power system based on IWOA-KELM
inferredcites →https://doi.org/10.1016/j.jmapro.2020.03.006openalex-snapshot
A quality diagnosis method of GMAW based on improved empirical mode decomposition and extreme learning machine
inferredcites →https://doi.org/10.1016/j.procs.2015.12.114openalex-snapshot
Simulated Annealing Algorithm for Deep Learning
inferredcites →https://doi.org/10.1038/nmat5021openalex-snapshot
Additively manufactured hierarchical stainless steels with high strength and ductility
inferredcites →https://doi.org/10.1080/01694243.2022.2159298openalex-snapshot
Study on parameter optimization of laser cladding Fe60 based on GA-BP neural network
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