PIPages
Labs

Olivier Desjardins

Cornell University, NY·Engineering

When a liquid jet or sheet breaks apart, it first tears into thin threads and then into a fine mist of droplets. Those droplets may spread out, evaporate, burn or dry into solid particles.

Fields

Engineering

Computer Science

Physics

Topics

sprays

atomization

multiphase flow

Grants
2 known grants, through Aug 2029

What they work on

  1. Develop a piecewise-quadratic interface representation that captures liquid sheets and ligaments thinner than one simulation grid cell, so that computers can predict when and how liquids break apart.
  2. Build a volume-filtered simulation framework with physics-informed closure models that add the effects of unresolved surface tension, aiming to predict breakup, coalescence and droplet size distributions without costly direct numerical simulation.
  3. Combine interface capturing, sub-grid breakup models, droplet and particle tracking, multicomponent evaporation and reduced chemical kinetics into one discretely conservative, scalable open-source spray code that works for both slow and compressible flows.
  4. Deploy a retrieval-augmented AI assistant that uses the code's documentation to check input parameters and generate simulation cases from natural-language descriptions, aiming to cut setup time from weeks to hours.
  5. Validate the unified framework against partner-provided experimental data for spray combustion, spray drying, surface coating, and droplet impact and erosion, and publish reproducible benchmarks.

More about the research

This happens in fuel injectors, inhalers, paint sprayers, crop sprayers and the spray dryers that make food and drug powders. In each case, how well the spray works decides energy use, emissions, product quality and cost. Predicting a spray with a computer is hard because the important events happen at once and across a huge range of sizes. The thinnest films and smallest droplets are often smaller than a simulation's grid can see. The lab's two projects attack this problem from two sides. One builds better mathematical models for these sub-grid details. The other combines today's scattered simulation tools into one open-source program that non-experts can use.

Why it matters

More accurate and affordable spray simulations could help engineers design fuel injectors that use less energy and cut emissions in transportation and power. They could also improve the making of medicines, food powders, crop protection sprays and coatings. Releasing the tools as open source, adding them to commercial codes, and pairing them with an AI setup assistant aims to put predictive spray modeling within reach of industry engineers who are not simulation specialists.

Known grants

From NIH and NSF research grants. Labs often have other funding we can't see.

Collaborative Research: Elements: Unifying Framework for Multiphysics Spray Simulation with AI-Enhanced Usability

NSF · Sep 2026 – Aug 2029

Collaborative Research: Multi-scale modeling of surface tension-driven dynamics with physics-informed sub-grid closures

NSF · Aug 2025 – Jul 2028

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The school

Cornell University: 37 labs on PI Pages, $1.6B a year on research, 537 research doctorates a year.

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