Classical and quantum Monte Carlo simulations in Julia
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Updated
Oct 29, 2023 - Julia
Classical and quantum Monte Carlo simulations in Julia
Tensor network simulations for finite temperature, open quantum system dynamics
Predict when an asteroid will be at closest approach to Mars. Gold medal winner at 5th Inter-IIT Tech Meet, 2018.
Raytracing black holes in 100 lines of Python
Implementation of local algorithms within pyscf
Sedimention of active Brownian particles in a box. Codes for numerical simulations and numerical solution of PDEs.
Codes used in "Flocking and reorientation transition in the 4-state active Potts model" by S. Chatterjee, M. Mangeat, R. Paul and H. Rieger, published in EPL 130, 66001 (2020); and "Flocking with a q-fold discrete symmetry: Band-to-lane transition in the active Potts model" by M. Mangeat, S. Chatterjee, R. Paul and H. Rieger, published in Phys. …
This repository is for the numerical simulations in physics.
Restricted active Potts model. Codes for numerical solution of PDEs.
✅ CLOSED: FTL No-Go Theorem - Rigorous proof that faster-than-light travel is fundamentally impossible in GR+QFT. Natário: 76.9% ANEC violation. QI: 10²³× gap. All warp metrics exhausted. Definitive computational reference.
Narrow escape problem in two-shell spherical domains. Codes for numerical simulations and numerical solution of PDEs.
A unified module for numerical calculations in physics using python.
🌐 Optimize Cloudflare IP selection using Bayesian methods for faster and stable connections without manual tuning. Supports both IPv4 and IPv6.
Numerical suite, Jupyter notebooks, and precomputed data reproducing the cosmological transfer functions, 2x2 eigenvalue crossovers, and black hole echo delays for the Matter-Space Coupling Framework (MSCF).
Solves the SO(5) Richardson-Gaudin model.
My PhD thesis, available on the arXiv at http://arxiv.org/abs/arXiv:1006.5321
Repository containing the result of my first C++ semester project, part of the Programmation II course in the first year of the Physics BSc at EPFL. The goal was to implement a real-life physics implementation of sand grains in different environments, with a graphical simulation component.
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