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Code for "Gradient-based Design of Computational Granular Crystals", Parsa et al.

License: MIT License

Python 100.00%

deep-learning differentiable-simulators gradient-based-optimisation granular-material metamaterial-design metamaterials pytorch unconventional-computing

cgm-torch's Introduction

Hi there 👋

🎓 I recently finished my PhD in Computer Science from UVM.
🌟 I'm interested in the Embodied Intelligence and Unconventional Computing paradigm.
👨‍💻 In the past I've developed several optimization pipelines for designing programmable robotic structures.
💻 I also have experience in developing end-to-end differentiable physics simulations.
🔭 I'm currently working on a data-driven framework based on the modern Koopman theory for granular materials.
📫 How to reach me: atoosa [dot] parsa [at] gmail [dot] com. Also, check out my site.

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