Welcome to the open-source LENR reactor project—a public effort to explore the possibility of designing and developing an intrinsically safe Low Energy Sonoluminescence Reactor with no radioactive materials involved.

This project provides a starting point for researchers and engineers interested in low energy nuclear reactions (LENR), sonoluminescence, and cavitation-based energy systems.

This repository contains (or will eventually contain):

• 3D CAD Models – A spherical reactor core design with hemispherical aluminum horns and water chamber.
• Materials & Colloid Recipes – Starting concentrations for nickel powder, neutron moderators, and optional gain media.
• Bill of Materials (BOM) – Components for building your own test reactor.
• FEA Simulations – Helmholtz equation acoustic modeling using Elmer FEM to analyze pressure wave behavior in the reactor cavity.
• Python Utilities – Scripts for basic simulation, data logging, and future control loop automation.
• Sensor Placement and Strategy – Photodiode-based Bremsstrahlung detection setup and flow diagram.
• Experimental Protocols – Concepts for safe and reproducible LENR experimentation.

• Build a low-cost, modular sonoluminescence reactor that supports LENR experimentation.
• Enable community collaboration with open-source hardware and software.
• Establish prior art and reproducibility benchmarks for LENR systems.
• Provide a data-driven experimental framework focused on detecting anomalous heating, not rare nuclear events.

Refer to:

• Open-Source Sonoluminescence LENR Reactor v0.1.0.pdf
• Sonoluminescence Reactor System Diagram v0.1.0.pdf

These include detailed system architecture, design philosophy, core scientific rationale, and practical insights for reproducible LENR research.

This project is licensed under the MIT License. You are free to use, modify, and build upon it—ideally for the benefit of science and humanity.

Questions, improvements, and experimental results are welcome. Please reach out via email:

info@aquaco2.com
Join the movement: Let’s build a reproducible, accessible LENR platform together.