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Achievement: YOLOAchievement: Pair Extraordinairex2Achievement: QuickdrawAchievement: Pull Sharkx2

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@NumericalMathematics

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cwittens/README.md

Hi there 👋

  • 🧮 I'm a computational physics student1 who spends most of his time solving ODEs and PDEs in Julia on GPUs.
  • 🎯 Turning math into fast code (brrrr)
  • 🌍 From Mainz, currently @ MIT | JuliaLab
  • 🌐 My website: https://cwittens.github.io/
  • 📧 Contact: cwittens@mit.edu
  • 💬 Ask me anything Julia

Footnotes

  1. Currently pursuing a master in both Computational Sciences and Physics ↩

Pinned Loading

  1. GeothermalWells.jl GeothermalWells.jl Public

    GPU-accelerated Julia package for simulating deep borehole heat exchangers (single wells and arrays). Easy to use for rapid prototyping and design exploration.

    Julia 10

  2. NumericalMathematics/DispersiveShallowWater.jl NumericalMathematics/DispersiveShallowWater.jl Public

    A Julia library of structure-preserving numerical methods for dispersive wave equations

    Julia 26 5

  3. SciML/OrdinaryDiffEq.jl SciML/OrdinaryDiffEq.jl Public

    High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learni…

    Julia 655 263

  4. academic-ai-code-of-conduct academic-ai-code-of-conduct Public

    # AI Code of Conduct.

    1