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The Ising Model in Python: Statistical Mechanics and Permanent Magnets
Code Review: Optimizing my 2D Ising model code in Julia
Modeling in Julia at Exascale for Power Grids | Michel Schanen | JuliaCon 2019
Correlation Length and the KT Transition in the 2D XY Model
Seam Carving | Week 2, lecture 7 | 18.S191 MIT Fall 2020
Introducing TwinSimulate’s New Feature: Julia Code Integration in Digital Twin Diagrams
The Julia Sets: How it Works, and Why it's Amazing!
The physics behind diffusion models
The physics behind Flow Matching models
Ising model | A Bird's Eye View | Solid State Physics
Julia for Engineers Part 1 Intro to Julia and ModelingToolkit
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Last Updated: September 28, 2026
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Going to convert all my code from MVis this semester to youtube.com/watch?v=LUAi-mbQo0o&list=PLLlTVphLQsuPH-CZ-k-tzvXRHGhACOKtv ... It took 50x10^9 sequential updates to get closure of all the vortices. A previous run only took 30x10^9. For reference the ... Join us for the first session of the The simplest model of a permanent magnet is the amzn.to/4aLHbLD You're literally one away from a better setup — grab it now! As an Amazon Associate I earn ... The ExaSGD (Optimizing Stochastic Grid Dynamics at Exascale) application is part of the Department of Energy's Exascale project ... An algorithm for intelligently resizing images and an introduction to dynamic programming. For full course information, visit ... We're thrilled to announce an exciting enhancement to the TwinSimulate : the ability to embed A concise description of how the In-depth analysis of the Flow Matching training algorithm. Companion interactive tutorial (free, no sign-in): diffusion.fyi ...