Ensemble latent assimilation with deep learning surrogate model: application to drop interaction in a microfluidics device
Yilin Zhuang, Sibo Cheng, Nina M. Kovalchuk, Mark Simmons, Omar K. Matar, Yike Guo, Rossella Arcucci
Abstract
, recorded videos), which are excluded from the training of the surrogate model. The developed scheme is general and can be applied to other dynamical systems.
Topics & Concepts
MicrofluidicsAssimilation (phonology)Data assimilationEnsemble learningDrop (telecommunication)Drop outComputer scienceArtificial intelligenceNanotechnologyMaterials sciencePhysicsMeteorologyTelecommunicationsEconomicsDemographic economicsPhilosophyLinguisticsFluid Dynamics and Heat TransferInnovative Microfluidic and Catalytic Techniques InnovationLattice Boltzmann Simulation Studies