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  • Jawaharlal Nehru Centre for Advanced Scientific Research
  • Bengaluru, India
  • X @adiga_suhas

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adigasuhas/README.md

Hey 👋, I'm Suhas Adiga!

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Glad to see you here!

I'm a 2nd-year MS student at the Theoretical Sciences Unit, JNCASR, working with Prof. Umesh Waghmare. My research primarily focuses on Machine Learning applications in new materials search for superconductors. I apply data-driven approaches to accelerate the discovery and optimization of novel materials.

I have a strong interest in Machine Learning applications in materials science. Currently, I am working on its applications in superconductors, utilizing computational models and data-driven methodologies to enhance material discovery.


🔥 Rapidfire

  • I specialize in developing computational models and Machine Learning (ML) techniques for materials science, particularly in:
    • Superconductors ⚡
    • Machine Learning in Materials Science 🧪
    • High-throughput materials discovery 🔬

Languages and Tools

HTML5 Python Bash Arduino Linux pytorch GitLab Blender LaTeX TensorFlow Figma

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  1. Toy_Model---Superconductivity Toy_Model---Superconductivity Public

    This repository contains Python code for running a GUI to visualize Cooper pair formation in a 2D unit cell.

    Python

  2. Python-for-Materials-Science Python-for-Materials-Science Public

    This repository contains notebooks demonstrating the usage of Python libraries for Materials Science. It will be updated weekly, and expect to finish this in a span of 10 weeks.