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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:

🌐 random-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 characterise material results.

Find me here on Google Scholar, or visit my landing page.

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  1. randomspaces.github.io randomspaces.github.io Public

    Random Spaces as knowledge base is created by integrating mathematics, chemistry, and computational tools.

    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