GitHub - elodin-sys/elodin: Physics simulation software for space + aerospace
Elodin is a platform for rapid design, testing, and simulation of drones, satellites, and aerospace control systems. Quick Demo: https://app.elodin.systems/sandbox/hn/cube-sat Sandbox Alpha: https://app.elodin.systems Docs (WIP): https://docs.elodin.systems This repository is a collection of core libraries: libs/nox: Tensor library that compiles to XLA (like JAX, but for Rust). libs/nox-ecs: Rust
Simulating Fluids, Fire, and Smoke in Real-Time
Notes on the math, algorithms, and methods involved in simulating fluids like fire and smoke in real-time. Source code for this article can be found on my GitHub. Fire is an interesting graphics problem. Past approaches generally faked it. For example, Lord of the Rings used sprites with lots and lots of smoke (the fluid sim was too expensive at the time, even for movies). Real-time applications l
2D Liquid Simulator With Cellular Automaton in Unity - jgallant's Indie Game Developer Homepage
Liquid Physics Using Cellular Automation One interesting way to represent liquids in a grid based world, is to use a form of cellular automaton. You may have heard of cellular automata from the popular “Conway’s Game of Life”, where cells evolve based on a set of rules that they adhere to. As the cells evolve, they create some interesting patterns, sometimes even chaotic in nature. For our liquid
Simple Fluid Simulation With Cellular Automata | W-Shadow.com
A blog about web development, software business, and WordPress Last week I couldn’t use my regular dev. machine (broken graphics card), so all my WordPress-related plans were on hold. To pass the time, I built a simple water simulation in Processing. Today I’m going to show you this little application and explain how it works. Online demo and source code are included. Big Words, or The Theoretical
Ten Minute Physics
This is the page accompanying my youtube channel Ten Minute Physics. In short episodes of about ten minutes I explain the basic concepts of physically based simulation. Each time I write a little javascript demo that runs in any browswer. Youtube Contributions Back Tutorials Many more to come - stay tuned!
スパコンによる大規模分子動力学計算の現状
はじめに 最近、以下の新しい論文を投稿しました。 Effects of polymers on the cavitating flow around a cylinder: A Large-scale molecular dynamics analysis 高分子が円柱を過ぎる流れに対して与える影響を分子動力学法で解析したものです。私も共著者には入っていますが、筆頭著者である浅野さんが中心となって計算、解析したものです。 計算規模は、概ね100ノード20万コア5億原子100時間/1ランを複数回実行するくらいです。この論文は物理の論文ですが、本稿ではこの計算の「大きさ」についてつらつら書いてみようと思います。 分子動力学法の計算コスト この論文で用いられている計算手法は分子動力学法(Molecular Dynamics method, MD)と呼ばれるもので、原子の間に働く力を計算し、位置を
局所密度近似（LDA）で水素原子のエネルギーを計算してみる（C++17のソースコード付き） - Qiita
この記事では，LDA汎関数（Dirac-Slaterの交換汎関数（参考文献[1]，参考文献[2]）とVWN相関汎関数（参考文献[3]）の組み合わせ）を用いて，水素原子に対するKohn-Sham方程式を解き，基底状態のエネルギーEを計算してみることにします。なお，Kohn-Sham方程式そのものについてはこちらの記事で，また，ヘリウム原子に対するKohn-Sham方程式については，こちらの記事で解説しています。 水素原子に対するKohn-Sham方程式 さて，早速ですが，水素原子に対するKohn-Sham方程式は，LDA-VWN汎関数を用いた場合，Hartree原子単位系で（以下，断りなしにHartree原子単位系を用いることとします）， \left[ -\dfrac{1}{2}\nabla^{2}-\dfrac{1}{r}+% %TCIMACRO{\dint }% %BeginExpans
2次元波動方程式の解の導出と性質 - Qiita
Abstract この記事は, 数理物理 Advent Calendar 2018 に空白があったため, 遅ればせながらお邪魔するものです. 放射条件を伴なう2次元全空間の波動方程式 \begin{align} \partial_t^2 G - \beta^2 \left( \partial_x^2 + \partial_z^2 \right) G & = \delta(x) \delta(z) \delta(t), & (t \ge 0) \\ G \left( x,z,t \right) & = 0, & (\left| x \right|, \left| z \right| \rightarrow \infty )\\ G \left(x,z,t \right) = \partial_t G \left(x,z,t \right) & = 0 & ( t \lt 0 ) \end{a
Fluid Simulation (with WebGL demo)
Fluid Simulation (with WebGL demo) Click and drag to change the fluid flow. Double click to reset. Note: The demos in this post rely on WebGL features that might not be implemented in mobile browsers. About a year and a half ago, I had a passing interest in trying to figure out how to make a fluid simulation. At the time, it felt just a bit out of my reach, requiring knowledge of shaders, vector c
PyFR
PyFR is an open-source Python based framework for solving advection-diffusion type problems on streaming architectures using the Flux Reconstruction approach of Huynh. The framework is designed to solve a range of governing systems on mixed unstructured grids containing various element types. It is also designed to target a range of hardware platforms via use of an in-built domain specific languag
GitHub - barbagroup/CFDPython: A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
Please cite as: Barba, Lorena A., and Forsyth, Gilbert F. (2018). CFD Python: the 12 steps to Navier-Stokes equations. Journal of Open Source Education, 1(9), 21, https://doi.org/10.21105/jose.00021 CFD Python, a.k.a. the 12 steps to Navier-Stokes, is a practical module for learning the foundations of Computational Fluid Dynamics (CFD) by coding solutions to the basic partial differential equation
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Sidescrolling Flight Simulator
pythonで学ぶ計算物理 — pythonで学ぶ計算物理 ドキュメント
Developer Insights #9 – Orbit Tessellation – Kerbal Space Program
GitHub - cometscome/Julianotes: Julia language notes
Hamiltonian Dynamics in Haskell
Computer Simulation (Pixar in a Box)
Reddit - Dive into anything
Pixel-Art Physics
http://www.ncollide.org/
