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Computational Physics

Computational Physics blog

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llms.txt
https://compphys.go.ro/llms.txt
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Documentation: developer or product docs worth reading, nothing to call
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2026-10-18T15:08:53.185Z
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2026-10-24T22:04:52.842Z
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Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-24T22:04:49.873Z. Cached copy · Source on go.ro

# Computational Physics

> Computational Physics blog

> Generated by All in One SEO v5.0.4, this is an llms.txt file, used by LLMs to index the site.

## Sitemaps

- [XML Sitemap](https://compphys.go.ro/sitemap.xml): Contains all public & indexable URLs for this website.

## Posts

- [DFT for an atom](https://compphys.go.ro/dft-for-an-atom/): Density functional theory for an atom, LDA, 1D, shooting with Numerov for Schrodinger equation, multigrid for Poisson equation, on a non uniform grid
- [Percolation in fortran](https://compphys.go.ro/percolation-in-fortran/): Introduction I thought I should add another project1 to my GitHub repositories and since I was mainly extending the Quantum Computing Simulator project I decided to implement something very simple, but still very rich, a model that despite being simple is still useful for many physical phenomena and also exhibits a phase transition... that is,
- [Machine Learning from scratch](https://compphys.go.ro/machine-learning-from-scratch/): From simple linear regression, through logistic regression, generalized linear regression, to neural networks. Using stochastic gradient descent (up to AdamW).
- [Time Evolving Block Decimation](https://compphys.go.ro/time-evolving-block-decimation/): Time Evolving Block Decimation
- [Quantum Computing Simulator](https://compphys.go.ro/quantum-computing-simulator/): Quantum computing simulator and algorithms implementation description. A simulator that is comparable in performance with 'state of the art' simulators
- [Car-Parrinello Quantum Molecular Dynamics](https://compphys.go.ro/car-parrinello-quantum-molecular-dynamics/): Car-Parrinello quantum molecular dynamics for hydrogen molecule implemented in python
- [Updates to projects](https://compphys.go.ro/updates-to-projects/): Information about projects changes and additions since their corresponding blog entry was posted. Some projects have serious additions, worth describing.
- [Augmented Plane Waves](https://compphys.go.ro/augmented-plane-waves/): Augmented Plane Wave method for Cu, using the muffin tin approximation and a pseudopotential, both APW and LAPW
- [Chaos](https://compphys.go.ro/chaos/): Chaos in low-dimensional Competitive Lotka–Volterra models
- [Newtonian Gravity](https://compphys.go.ro/newtonian-gravity/): A gravity simulation using Velocity Verlet and displaying graphics with OpenGL.
- [Electric Field Lines](https://compphys.go.ro/electric-field-lines/): Electric field lines and equipotentials for electric charges, using Runge-Kutta methods, including adaptive ones.
- [The Kondo Effect](https://compphys.go.ro/the-kondo-effect/): Some theoretical things about the Kondo Effect, to be referred at the numerical renormalization group implementation
- [Quantum Dots](https://compphys.go.ro/quantum-dots/): A short description of quantum dots
- [Renormalization Groups](https://compphys.go.ro/renormalization-groups/): Some brief generalities about renormalization groups
- [The Numerical Renormali
…

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