Inverse design of microfluidic concentration gradient generator using deep learning and physics-based component model
Seong Hyeon Hong, Haizhou Yang, Yi Wang
Topics & Concepts
Artificial neural networkComputer scienceComponent (thermodynamics)InverseConvolutional neural networkDivide and conquer algorithmsComputational fluid dynamicsGenerator (circuit theory)Deep learningArtificial intelligenceCascadeCurse of dimensionalityDesign space explorationAlgorithmMathematicsEngineeringEmbedded systemAerospace engineeringGeometryPhysicsThermodynamicsQuantum mechanicsPower (physics)Chemical engineeringMicrofluidic and Capillary Electrophoresis ApplicationsMicrofluidic and Bio-sensing TechnologiesHeat Transfer and Optimization