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AI-Thermal/Fluids (AITF) is dedicated to exploratory research and advancements at the intersection of artificial intelligence (AI) and thermal-fluid science and engineering. The journal publishes full length Research Articles, Rapid Communications, Reviews, Letters to the Editor, and Vision Articles. It also publishes Original Software articles that describe and provide access to open-source software and Data Articles that describe and provide access to research data.
Acoustic Emission SensingPhysics Informed Neural NetworksMachine Learning FrameworkConvective Heat TransferHeat TransferHeat and Mass Transfer IntensificationNano-encapsulated Phase Change MaterialsAcoustic EmissionSupercritical Pressure FluidDynamic Melting ProcessWall Temperature MeasurementHeat Flux MonitoringUniform Manifold Approximation and ProjectionGradient DerivationEncapsulated Phase Change MaterialFlow Field ReconstructionZero Carbon FuelsLinear Ordinary Differential EquationsThermochemical Energy StorageEffective Configuration