Skip to content
View domipm's full-sized avatar
✌️
✌️

Block or report domipm

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
domipm/README.md

Hi! 👋 I'm Dominik

Astrophysics & Computational Physics Student

“Remember to look up at the stars and not down at your feet. Try to make sense of what you see and wonder about what makes the universe exist. Be curious. And however difficult life may seem, there is always something you can do and succeed at. It matters that you don't just give up.” — Stephen Hawking (1942 - 2018)

  • 📚 MSc Physics @ SDU
  • 🌱 Learning / Interests: Astro(particle) Physics, Deep Learning & Machine Learning
  • 🚀 Working on: Dark Matter Axion-Like Particles, Quasinormal Modes in Black Holes
  • 💻 Skills / Tools: C++, Python, Jupyter Notebook, LaTeX

Pinned Loading

  1. TFG-QNMs-BH TFG-QNMs-BH Public

    Code developed for the Undergraduate Dissertation: Quasinormal Modes in Black Holes

    Jupyter Notebook

  2. Computational-Physics Computational-Physics Public

    Compilation of all the projects and simulations developed for the course "Física Computacional" (Computational Physics) @ UGR

    C++

  3. Complex-Systems-Percolation Complex-Systems-Percolation Public

    Code used for the project "Fractals and Percolation" in the course Physics of Complex Systems

    C++ 1

  4. DL-Classifiers DL-Classifiers Public

    Numerical code developed for the programming projects on DM873 Deep Learning @ SDU

    Python

  5. Intelligent-Heating-Machine Intelligent-Heating-Machine Public

    Code for implementation of Data-Driven, Physics-Informed Neural Network (DD-PINN) to predict evolution of drying processes

    Jupyter Notebook

  6. RL-Atari-DLS RL-Atari-DLS Public

    Numerical code developed for the project "Learning to play Atari games on a discrete latent space" from the course "Reinforcement Learning" @ SDU

    Python