Case Study: Scientific Simulation Software Development — Polyphysica

Overview

Polyphysica is a 3D physical simulation software platform designed for solving complex engineering and scientific challenges. Using the discrete element method (DEM), it allows researchers and engineers to model particle interactions, predict system behavior, and visualize results in real time.

The platform provides scalable simulations with millions of particles, making it a powerful tool for physics, engineering, and academic research. With its intuitive graphical interface and customizable workflows, Polyphysica combines scientific precision with usability.

Challenge

Traditional simulation tools are often:

• Too complex for new researchers.

• Limited in scalability and performance.

• Lacking intuitive UX for quick setup and visualization.

The goal was to design a scientific simulation platform that:

• Handles large-scale physics simulations efficiently.

• Provides a user-friendly GUI accessible to both professionals and students.

• Supports customization for specialized research.

• Integrates with CAD files and other engineering workflows.

Solution

We developed Polyphysica as a high-performance SaaS and desktop-ready platform that combines scientific accuracy with ease of use.

Key features include:

• 3D simulation tools powered by DEM.

• Efficient parallel computing kernel for high performance.

• Lua scripting support for customization.

• CAD file import for seamless engineering workflows.

• Realistic particle shapes for accurate simulations.

• Interactive visualization with real-time outputs.

Technology stack

• SaaS Development for scalable, cloud-based access.

• High-performance computing engine optimized for DEM.

• Web Development for online components and dashboards.

• UX/UI Design for a simplified yet powerful interface.

• AI Integrations planned for automated simulation analysis.

Our approach

We applied a research-driven development methodology:

1. Discovery — analyzed needs of engineers, researchers, and educators.

2. Design — created an intuitive GUI to make complex simulations accessible.

3. Development — optimized algorithms for speed and accuracy.

4. Testing — validated results with real-world scientific use cases.

This ensured that Polyphysica became both a scientifically accurate and practical tool.

Results

• Capable of running simulations with over 1 million particles.

• Reduced computation time significantly compared to legacy tools.

• Adopted by research institutions and engineering teams worldwide.

• Expanded into educational use for training students in physics and engineering.

Why It Matters

Polyphysica demonstrates how Scientific Simulation software benefits from SaaS Development, Web Development, and UX/UI Design. By combining powerful algorithms with a user-friendly interface, it bridges the gap between advanced science and practical usability.

Call to Action

Looking to build your own scientific simulation software or develop a custom SaaS platform for research and engineering?

👉 At Pica Trebax, we specialize in SaaS Development, Web Development, UX/UI Design, and AI Integrations for scientific and engineering solutions.