Skip to content
View heyitsdipu's full-sized avatar
🎯
Focusing
🎯
Focusing

Block or report heyitsdipu

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
heyitsdipu/README.md

Hi, I'm Diptesh Gayen

Computational Materials Scientist (PhD, Physics)

heyitsdipu

  • πŸ”­ I’m currently working on machine-learning interatomic potentials (MLIPs) for polymer and soft-matter systems

  • 🌱 I’m currently deepening my understanding of graph neural networks, equivariant models, and generative models for materials

  • πŸ‘― I’m looking to collaborate on MLIP development, atomistic ML, and data-driven materials modeling

  • πŸ‘¨β€πŸ’» All of my research code and projects are available at
    https://github.com/heyitsdipu

  • πŸ“ I write about my research, projects, and background at
    https://sites.google.com/view/dipteshgayen/

  • πŸ’¬ Ask me about atomistic simulations, LAMMPS, force-field development, ML for materials, and computational chemistry

  • πŸ“« How to reach me: [email protected]

  • πŸ“„ Know about my academic and research experience:
    https://sites.google.com/view/dipteshgayen/cv

  • I like to do karate, playing badminton, and hiking. I like to read or listen different philosophical concepts. I am a deeply spiritual person. Spirituality means to know the relationship between "I" and the "Universe". Yes, that's it. Don't spread stupidity in the name of spirituality. I follow a philosophy called "Advait" (or Non-duality). If you are interested to know further, please read/listen some of the works of Acharya Prashant.


🌐 Socials:


πŸ’» Tech Stack:

  • Languages πŸ’»

  • Databases πŸ“Š

  • Python Libraries and Tools (ML & Deep Learning) 🐍

  • Computational Chemistry & Atomistic Simulation

  • Machine-Learning Interatomic Potentials

---

heyitsdipu

Pinned Loading

  1. mace-mlip mace-mlip Public

    Notebooks for MACE-Machine Learning Force Fields

    Jupyter Notebook 1

  2. machine-learning-force-field-dialanine machine-learning-force-field-dialanine Public

    Development of machine learning force field for Dialanine

    Jupyter Notebook 1

  3. neural-network-development-from-scratch neural-network-development-from-scratch Public

    Development of neural networks from scratch with basic Python tools

    Jupyter Notebook 1

  4. improving-deep-neural-networks improving-deep-neural-networks Public

    Jupyter Notebook 1