SPDE-Visuals

Image collection

This folder contains a variety of images for talks, lectures, and presentations on SPDEs and related topics. Most were generated using MidJourney (denoted by the prefix MJ or my username on Discord chenle02). One wide illustration, Nano_Banana_Pro_Classical_to_Singular_SPDEs_regularity_barrier.png, was generated by Gemini 3 using Nano Banana Pro, and two related images, Sora_Classical_to_Singular_SPDEs_landscape_v1.png and Sora_Classical_to_Singular_SPDEs_landscape_v2.png, were generated by Sora@OpenAI. Filenames are based on the prompts used to create the images.


Table of contents


Stochastic heat equation (SHE)

These images are visual representations or interpretations of the stochastic heat equation (SHE), parabolic Anderson model, etc. :

The following images are used to show my favorite initial condition: the Dirac delta initial data.

The following examples illustrate intermittency and are taken from Zeldovich’s book Almighty Chances:


Cosmic and universe themes

Exploring cosmic forces, the universe, and other celestial concepts:


Natural and environmental themes

Nature-inspired images, including forests, mushrooms, and lightning:


Mathematical and theoretical concepts

Visualizations inspired by mathematical ideas and models:

Polymer and energy-flow inspired landscapes (generated by Sora@OpenAI, 2025‑11‑13):

The following three images contrast classical SPDEs with singular SPDEs across the regularity barrier (one wide illustration by Nano Banana Pro / Gemini 3 and two cinematic variants by Sora@OpenAI):


Examples of stochastic wave equation

The following is an example from Walsh’s 1986 notes, which describes a one-dimensional stochastic wave equation—the vibration of a guitar string in a sandstorm:

Short companion videos illustrating the same scene (generated by Sora@OpenAI):

Inline playback on GitHub (may depend on browser support):


Usage

Feel free to use any images and videos in this folder for talks, lectures, papers, and creative projects—no formal acknowledgment is required.

If you would like to express gratitude, a brief note such as

Figures inspired by the SPDE-Visuals repository (Le Chen, Auburn University, https://spdengine.github.io/SPDE-Visuals/).

or a link to the GitHub/GitHub Pages project is very much appreciated. When appropriate, you may also credit the tools used (e.g., MidJourney, Gemini 3 / Nano Banana Pro, Sora@OpenAI). For questions or comments, you can reach me at lzc0090@auburn.edu or visit https://webhome.auburn.edu/~lzc0090/index.html.

For further exploration and downloads, visit the main repository: SPDE-Visuals.