GOLIAT

Automate Sim4Life near- and far-field simulations from start to finish

GOLIAT is a Python framework that automates electromagnetic field (EMF) dosimetry simulations from start to finish. Calculate Specific Absorption Rate (SAR) in digital human phantoms with minimal manual intervention, whether you're simulating a phone call (near-field) or environmental exposure (far-field).

Perfect for: Researchers, compliance engineers, and anyone studying EMF exposure in biological tissues.

Why GOLIAT?

⚡ Zero manual scene building – Phantoms, antennas, and materials load automatically

🔄 Reproducible – Configuration-driven workflow ensures consistent results

☁️ Cloud-ready – Scale from local testing to 100s of parallel cloud simulations

📊 Analysis built-in – Get plots, detailed SAR reports, and hundreds of publication-ready figures

🎨 GUI included – Monitor progress in real-time with ETA tracking

🤖 AI Assistant – Query codebase and documentation with natural language

Project funding and Acknowledgements

This software is written for subtask 1.5 of 5G expOsure, causaL effects, and rIsk perception through citizen engAgemenT (GOLIAT) funded by the European Union as part of the CLUE-H consortium to study health effects of radio-frequency electromagnetic fields. Subtask 1.5 is central to the project to relate incident fields to absorption values inside of humans.