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Physics
Index: #72

Inability to Model Turbulence

Modeling turbulence remains one of the most challenging problems in physics due to its nonlinear and chaotic nature.

Foundational Capabilities (1)

Develop New Modeling Frameworks for Turbulence

Create and implement novel mathematical models and computational frameworks that can more accurately simulate and predict turbulent flows.
  • Reynko Inc.
    Company
  • DARPA Program: APAQuS - Automated Prediction Aided by Quantized Simulators
    Funding Program
  • Tensor networks enable the calculation of turbulence probability distributions
    Research and Reviews
  • Turbulence Modeling in the Age of Data
    Research and Reviews
  • Animal-borne technologies in wildlife research and conservation
    Whitepapers and Essays
  • Justin Beroz: A closed-form mathematical framework for modeling turbulent fluids
    Whitepapers and Essays