Microfluidic Horizons 2026

Session

Wednesday 20/05, 14 - 19; Room 35

W2-B

May 20, 2026, 2:00 PM

17. Thermodynamically Consistent Discovery of Polymeric Constitutive Equations using a GENERIC-guided Neural Network framework and application to CFD of complex fluids

5/20/26, 3:40 PM

Computational and data-driven approaches in microfluidics

Oral

I will present a versatile computational framework that employs Physics-Informed Neural Networks (PINNs) to discover constitutive equations for the extra-stress in rheological models of polymer solutions [1]. In this framework, the training of the neural network is guided by a meta-model for the conformation tensor that adheres to the GENERIC formalism (General Equation for Non-Equilibrium...

129. CFD-guided Design and Experimental Validation of Microfluidic Systems for Drug Encapsulation

5/20/26, 4:00 PM

Computational and data-driven approaches in microfluidics

Oral

Advances in drug delivery increasingly rely on microfluidic systems for encapsulation, yet experimental optimization can be time-consuming and resource-intensive, requiring multiple iterations to identify suitable operating conditions. Computational fluid dynamics (CFD) provides a complementary tool, enabling systematic investigation of flow behavior, droplet formation, and overall device...

133. Multiphysics modeling of single-particle photoacoustic excitation in a microfluidic platform

5/20/26, 5:20 PM

Computational and data-driven approaches in microfluidics

Oral

Microfluidic systems enable precise fluid handling at the microscale and offer huge potential for integrating multiple functions for rapid, on-chip analysis (Petruzzellis et al., 2024). In this context, while numerous studies have successfully focused on device fabrication and particle manipulation within microchannels, the downstream detection often still relies on off-chip tools such as...

194. Multiphysics model of magnetic bead collection for lab-on-a-disc platforms

5/20/26, 5:40 PM

Computational and data-driven approaches in microfluidics

Oral

Magnetic microbeads are a key tool in automated immunoassays, where they enable selective capture, concentration, and purification of low‑abundance analytes.
On microfluidic platforms, magnetophoretic bead collection remains a major performance bottleneck, demanding precise control within microfluidic environments and repeated execution during binding, washing, and dilution steps....

199. Machine Learning-Based Design Optimization of a Microfluidic Micromixer for Enhanced Mixing Performance

5/20/26, 6:00 PM

Computational and data-driven approaches in microfluidics

Oral

Efficient mixing in microfluidic systems at low Reynolds numbers remains a major challenge due to dominant laminar flow and slow diffusive transport. Micromixers play an important role in many biomedical applications such as lab-on-chip platforms, biochemical assays, drug delivery etc. Conventional micromixer design usually depends on parametric sweeps based numerical optimization, that...

73. A self-driven microfluidic laboratory to explore coacervation

Théo Rowden

5/20/26, 6:20 PM

Computational and data-driven approaches in microfluidics

Oral

Coacervation is a liquid-liquid phase separation that can occur when macromolecules with opposite charges are mixed in solution. Beyond its fundamental aspects in physical-chemistry [1] and biology [2, 3], coacervation is also of industrial interest for the encapsulation and controlled release of active substances [4] as well as in the formulation of modern shampoos, making it possible to...