A portrait of Ryan Farell

Ryan Farell

Unlocking the potential of deep neural nets in scientific discovery

Review of ``Symplectic Spectrum Gaussian Processes: Learning Hamiltonians from Noisy and Sparse Data" by Yusuke Tanaka, Tomoharu Iwata, and Naonori Ueda

This repository contains a detailed review, summary, and implementation of the Symplectic Random Fourier Features (S-RFF) method. The original paper is available here.

GitHub Repository

Random Fourier Features Paper Review

This repository contains a detailed review, summary, and implementation of the Random Fourier Features (RFF) method as introduced by Ali Rahimi and Benjamin Recht in their influential 2007 paper published in the proceedings of the Advances in Neural Information Processing Systems (NIPS). The original paper is available here.

GitHub Repository

Reduced Order Modeling Tutorials

A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Easily runnable on Google Colab.

GitHub Repository

AcreTech AI

AcreTech AI a platform that leverages cutting-edge AI technologies to address real-world challenges in the energy exploration space.

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