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atharvaaalok/README.md

Hey! I work on computational methods for design, especially focussing on aircraft design.

I work on the full shape optimization stack:

  1. Shape Representation: Developed the first non-self-intersecting geometry representation scheme: Neural Injective Geometry.
  2. Shape Evaluation: Physics based ML (Neural Operators etc.) for flow evaluation.
  3. Shape Optimization: Adjoint-based optimization, DeepRL optimization.

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  1. NIGnets Public

    Neural Injective Geometry networks (NIGnets) for non-self-intersecting geometry.

    Python 2 1

  2. geosimilarity Public

    Differentiable curve and surface similarity measures.

    Python 7 2

  3. deepfusion Public

    A highly modular and customizable Deep Learning framework.

    Python 23 2

  4. Airfoil-Shape-Optimization-DL Public

    Airfoil Shape Optimization through Neural Network Input Optimization.

    Python 4

  5. Airfoil-Shape-Optimization-RL Public

    Airfoil shape optimization using Reinforcement Learning

    Jupyter Notebook 14 1

  6. MATLAB_Defaults Public

    A MATLAB repository for setting defaults especially for improving plots

    MATLAB 36 7