Repositório contendo Notebooks elaborados pelo membro do PET - Física UFRN Gabriel Wendell Celestino Rocha como contribuição ao projeto PET.py.
Quantum Recognition, Tomography, Inference Data Sets (Open Source)
Reproduced papers in Plasma Physics and beyond
Neutrino energy reconstruction program in Jiangmen Underground Neutrino Observatory (JUNO) using statistical inference and machine learning techniques.
Aggregates research artifacts, analysis scripts, and prototype code for the arcticoder energy research ecosystem (research-stage).
Blogging using Pluto.jl notebooks.
An ongoing project on developing a parallel 2D2P Maxwell — Vlasov — Boltzmann solver on adaptive meshes
Towards an Open World Engine - A Physics Research Engine built in PyTorch
Quantum computing education via Minecraft Redstone - Mathematical bridge between quantum mechanics and block-based circuits
Curated Portfolio For A 100-Module Graduate Curriculum in ML/AI Ops Engineering Development of Soil Quality Laboratory Foundation Models Using A Set Of 100 Foundational Model Concepts
Wiki of a research project at the University of Cambridge, supervised by Robert Jack, and at the Université de Paris, supervised by Frédéric van Wijland.
omni-wst-core is a production-grade, highly optimized C++/CUDA mathematical extension module for Python. It provides extreme-throughput primitives for calculating the Wavelet Scattering Transform (WST) and the Joint Time-Frequency Scattering (JTFS) transform.
Computational toy model (CCA) for M-theory vacuum stability, MBL-protected moduli, and dark matter as entanglement memory burden.
Notes of a research project at Umeå universitet focusing on sheared packings of ellipsoids, supervised by Peter Olsson.
Tunnel, spiral, lattice, cobweb — byte-exact codec on the bounded four-form corpus. Rust-native fast path with a Python reference. Not a cognition or clinical claim.
Interactive Digital Twin for Yeboah’s Law of Cutting. A computational framework for analyzing mechanical impact efficiency and energy dissipation in real-time.
Interactive particle diffusion simulation using JavaScript - demonstrates random walk algorithms, statistical variance calculations, and real-time data visualization for understanding stochastic processes
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