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:electron:
wisdom in chemistry
:electron:
wisdom in chemistry
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Achievement: Pull Sharkx2Achievement: YOLOAchievement: Quickdraw

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Achievement: Pull Sharkx2Achievement: YOLOAchievement: Quickdraw

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dindagustiayu/README.md

Hi! I'm interested in using Machine Learning 🤖
to learn the rules of Quantum Mechanics ⚡
and Simulate Crystalline and Amorphous Solid Systems 💻

I wrote and maintain the following repositories:

🌐 eigen-spaces
an interactive notebook as a knowledge base for everyone who wants to apply Python in their work.

🕸️ diffrac-refinement
algorithm experimentation - powerxrd to simulate diffraction patterns.

💽 data-processing
a digital textbook and practical guide to interpreting materials characterization results.

All code was learned autodidactically and no certifications!.

Let's connect with me through the links below:

Pinned Loading

  1. eigenspaces.github.io eigenspaces.github.io Public

    Eigen Spaces as a knowledge base for everyone who wants to apply Python in their work

    HTML

  2. ChemSpiPy-PySMILES-InChI-of-Chemistry-Database ChemSpiPy-PySMILES-InChI-of-Chemistry-Database Public

    ChemSpiPy, SMILES, and InChI formats for storing and transmitting chemical information.

    HTML

  3. diffrac-refinement diffrac-refinement Public

    Develop algorithms to simulate diffraction patterns and rietveld refinement for analysis crystalline phases.

    Python

  4. data-processing data-processing Public

    The digital textbook to interpreting characterisation results.

    Jupyter Notebook