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π Iβm currently working on machine-learning interatomic potentials (MLIPs) for polymer and soft-matter systems
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π± Iβm currently deepening my understanding of graph neural networks, equivariant models, and generative models for materials
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π― Iβm looking to collaborate on MLIP development, atomistic ML, and data-driven materials modeling
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π¨βπ» All of my research code and projects are available at
https://github.com/heyitsdipu -
π I write about my research, projects, and background at
https://sites.google.com/view/dipteshgayen/ -
π¬ Ask me about atomistic simulations, LAMMPS, force-field development, ML for materials, and computational chemistry
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π« How to reach me: dipteshgayen.phd@gmail.com
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π 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.
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Focusing
Computational Material Scientist (ML/AI) | PhD in Physics
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University of Freiburg
- Germany
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20:34
(UTC -12:00) - https://sites.google.com/view/dipteshgayen/
- https://orcid.org/0000-0001-9054-5685
- in/dipteshgayen
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machine-learning-force-field-dialanine
machine-learning-force-field-dialanine PublicDevelopment of machine learning force field for Dialanine
Jupyter Notebook 1
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neural-network-development-from-scratch
neural-network-development-from-scratch PublicDevelopment of neural networks from scratch with basic Python tools
Jupyter Notebook 1
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