San Diego State University
Making the math and physics behind fluids, AI, and the world around us visible, playable, and inspiring — for students of every age.
An education program led by Qi Wang, Ph.D. · Dept. of Aerospace Engineering, SDSUExplore the program
FAVE brings scientific computing and AI to learners through a hands-on summer workshop, animated math & physics you can interact with, science told through music — and now a game-based university course.
A two-day, hands-on summer workshop at SDSU for K–12 and community-college students — train a real AI model, build a soft robot, run physics simulations, and present a team project.
LLM2Manim turns a plain-language description of a math or physics concept into a narrated animation — a pedagogy-aware AI pipeline that writes Manim code and voiceover, grounded in multimedia-learning principles.
The Qi Wang Science and Piano channel — where physics meets the piano. Vibration, frequency, resonance and the hidden science of sound, told (and played) through music.
The workshop's play-first approach, applied to a university course: compressible flow taught through interactive games — feel the physics, then do the math.
About the program
FAVE — Fluids, AI, and Visualization for Education — is an education initiative that turns the mathematics and physics behind fluids, scientific computing, and artificial intelligence into things students can see, touch, and hear. It grows out of research in computational fluid dynamics and scientific machine learning, and shares it through hands-on experiences for K–12 students, community-college students, and educators.
Visualizations and animations that reveal the idea behind a formula — not just the symbols.
Interactive, browser-based demos and a summer workshop where students build and experiment.
Science told through music — because the physics of sound is the physics of everything that vibrates.
Pillar 1 · In person
FAVE's flagship in-person event: a two-day, project-based workshop at San Diego State University introducing students to AI, scientific computing, and robotics through live demos, simple labs, and a team project they present on Day 2. No experience needed.
Pillar 2 · Research & open source
FAVE's research engine for animated learning. LLM2Manim is a pedagogy-aware, human-in-the-loop pipeline that uses a large language model to convert math and physics concepts into narrated animations built with Python's Manim library — applying multimedia-learning principles like segmentation and dual coding so the result actually teaches, not just dazzles.
Type a concept in plain language — an equation, a force diagram, a phenomenon.
The LLM writes the Manim animation code and a matching voiceover, with automatic error-checking and fixes.
You get a narrated animation that walks a learner through the idea step by step.
Paper: LLM2Manim: Pedagogy-Aware AI Generation of STEM Animations — Aastha Joshi, Hongyi Ke, Meet Gajjar, Aaron Christian, Qi Wang & Jun Chen.
View on GitHub → Read the paper (arXiv) → Try the interactive demos →
Pillar 3 · Watch
On the Qi Wang Science and Piano channel, the science of sound is performed. Frequency and pitch, vibration and resonance, the standing waves on a string and the patterns on a Chladni plate — explained at the keyboard, where physics and music are the same thing. A natural companion to FAVE's Science & Music sessions.
Pillar 4 · SDSU Course
The game-to-teach structure proven at the summer workshop, brought to the university classroom. Compressible flow is famously abstract — shock waves, expansion fans, choked nozzles — so every core concept of AE 302 (Anderson Ch. 7–11) gets an interactive game you play before you derive it: pile pressure waves into a Mach cone, read a supersonic Pitot tube, steer a wedge to shock detachment, trap a shock inside a nozzle, start (or unstart!) a wind tunnel, and creep up on the critical Mach number. Then press ∑ and open the equations knowing exactly what they describe.
Come to the workshop, play with the demos, or watch the science behind the music — FAVE meets you wherever your curiosity starts.