Towards an Open World Engine - A Physics Research Engine built in PyTorch
Repositório contendo Notebooks elaborados pelo membro do PET - Física UFRN Gabriel Wendell Celestino Rocha como contribuição ao projeto PET.py.
Python simulations of analytical physics models, combining rigorous mathematical derivations with real-time 3D visualizations of classical and modern systems like particle dynamics, and collisions.
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
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.
ASRP — An open-source framework for AI-agent collaborative scientific research. Encode scientific methodology into agent workflows: experiment registration, independent cross-validation, audit trails, and reproducible research pipelines.
Awake Aerospace | An autonomous organization designed to enable space security and super abundance and equip an ecosystem in outer space
This repository provides a full Python-based implementation and verification of the **Segmented Spacetime Mass Projection Model**, offering a high-precision, testable alternative to traditional gravitational models.
Notes of a research project at Umeå universitet focusing on sheared packings of ellipsoids, supervised by Peter Olsson.
Computational toy model (CCA) for M-theory vacuum stability, MBL-protected moduli, and dark matter as entanglement memory burden.
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
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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