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arghyadutta/README.md

Hello! I am a physicist with a keen interest in material design. I use machine learning, numerical simulations, and statistical mechanics to identify descriptors that make material design easier. We found several intriguing descriptors, including coarse-grained sequence patterns, equations, and reduced vector embeddings. If that sounds interesting, check out my papers in Google Scholar! And here is my CV.

Here, you will find code used in my papers, some visualization and coding guides, a LaTeX template, and links to many useful resources. Take a look!

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  1. resources resources Public

    Links to books, webpages, essays, apps, and other stuff from the internet.

    Shell 23

  2. code-i-use code-i-use Public

    Codes for decent plots, evaluating clustering quality, using pathlib…

    Jupyter Notebook 2

  3. patterns-to-taste patterns-to-taste Public

    Code and data related to a paper

    Jupyter Notebook 2

  4. sequence-to-infectivity sequence-to-infectivity Public

    *Points to* code and data used in a paper 🙂

    1

  5. basic-latex basic-latex Public

    A simple LaTeX template

    TeX 1

  6. arghyadutta.github.io arghyadutta.github.io Public

    Code for my webpage https://arghyadutta.github.io/

    HTML