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Optimized for: Gemini / ChatGPT / Claude
#ThreeJS

Particle-Based Physics for Liquid and Sand Simulations

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Required Variables

r3f-particle-physics-liquid.txt
Act as an Advanced Simulation Researcher. Explore and architect particle-based physics simulations natively within R3F. Utilizing a specialized physics library like Ammo.js (Position Based Dynamics - PBD) or writing a bespoke GPU compute shader, define a rigid mathematical simulation capable of handling [MAX_PARTICLE_COUNT] (e.g., 10,000) interacting spherical particles. You must set a strict [PARTICLE_RADIUS] for dense collision detection and program a variable [VISCOSITY] tensor algorithm to realistically simulate materials seamlessly ranging from splashing water to thick, collapsing sand. Explicitly explain the highly advanced WebGL rendering pipeline required to display these physics points efficiently using `THREE.InstancedMesh` or custom point-cloud shaders without bottlenecking the CPU.

Example Text Output

"A technical guide for implementing Position Based Dynamics (PBD) to create a realistic sand-falling or fluid-pouring effect."

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Frequently Asked Questions

What is the "Particle-Based Physics for Liquid and Sand Simulations" prompt used for?

A technical guide for implementing Position Based Dynamics (PBD) to create a realistic sand-falling or fluid-pouring effect.

Which AI tools work with this prompt?

This prompt is optimized for Gemini / ChatGPT / Claude, but works great with ChatGPT, Claude, Gemini, and other large language models. Simply copy it and paste it into your preferred AI tool.

How do I customize this prompt?

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Is this prompt free?

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