From clutter to clarity: Emergent neural operators via questionnaire metrics
Georgiou A, Manoj A, Su P, Coifman R, Kevrekidis I, Goswami S. From clutter to clarity: Emergent neural operators via questionnaire metrics. Computers & Chemical Engineering 2025, 201: 109201. DOI: 10.1016/j.compchemeng.2025.109201.Peer-Reviewed Original ResearchAdvanced deep learning architecturesReal-world datasetsDeep learning architectureAgent-based systemsSupervised learning modelsAdvection-diffusion partial differential equationLearning architectureScrambled dataLearning techniquesData-driven system identificationNeural operationsEfficient emulationGenerative modelLearning modelsParameter embeddingDatasetFramework’s potentialSystem identificationClutter dataSystem dynamicsDifferential equationsFrameworkPartial differential equationsEmbeddingArchitecture
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