I am a computational materials scientist with a PhD in Physics, working at the interface of atomistic simulation, machine learning, and materials modeling.
My current research focuses on machine-learning interatomic potentials for polymer and soft-matter systems. I am especially interested in graph neural networks, equivariant models, generative models, and data-driven approaches for next-generation materials discovery.
class DipteshGayen:
def __init__(self):
self.pronouns = "He/Him"
self.background = ["Physics", "Materials Science", "Computational Modeling"]
self.interests = [
"Enhanced Samplng",
"Free energy calculation",
"Machine-Learning Interatomic Potentials",
"Atomistic Simulations",
"Polymer and Soft-Matter Systems",
"Graph Neural Networks",
"Generative Models for Materials",
"Next-Generation Materials"
]
self.motto = "Play fearlessly. Play bold."- Applying machine-learning interatomic potentials for polymer and biosystems.
- Deepening my understanding of graph neural networks, equivariant architectures, and generative models
- Exploring data-driven workflows for atomistic modeling and materials discovery
- Building research code for simulations, analysis, and machine-learning workflows
- Free energy perturbation method
- Machine-learning interatomic potentials
- Force-field development
- Polymer and soft-matter modeling
- Graph neural networks for materials
- Generative models for molecular and materials systems
I am open to collaborations in:
- MLIP development
- Atomistic machine learning
- Polymer and soft-matter simulations
- Data-driven materials modeling
- Computational chemistry and force-field development
- Research code and projects: GitHub
- Research website: Personal Website
- Academic background: Curriculum Vitae
- Contact: dipteshgayen.phd@gmail.com
Outside research, I enjoy karate, badminton, hiking, reading, and listening to philosophical discussions.
I am interested in spirituality in the sense of understanding the relationship between the self and the universe. I follow Advait Vedanta, or non-duality, which points toward the absence of separation between the individual self and the whole.
For a serious introduction to this perspective, I recommend the works of Acharya Prashant.
Play fearlessly. Play bold.