Summary
MRED is a Python-based, Monte Carlo radiation simulation software platform that models energy deposition and charge generation in microelectronic devices due to ionizing radiation. It enables product teams to predict single-event effects, total ionizing dose, and displacement damage before hardware testing. Companies use MRED to de-risk designs, prioritize mitigations, and cut test cost and time.
Addressed Need
Radiation-induced failures in advanced semiconductors range from non-destructive erroneous system responses to catastrophic failure, affecting aerospace, defense, automotive, and data-center industries. Legacy methods to model these failures in advance miss rare, high-consequence events and require costly beam time to characterize. Designing electronics that are resistant to these failures is critical, and organizations need fast, defensible predictions to reduce tests and guide hardening early.
Key Benefits
- De-risk missions by capturing rare, high-impact nuclear events
- Lower costs versus exhaustive hardware screening
- Faster decisions via automated, scriptable studies
- Integration with circuit design plans for tailored simulations
Technology Features
- Python API for batch runs, workflows, and integration
- Variance reduction to model rare nuclear reactions efficiently
- Scales from planar stacks to complex 3D device geometries
- Validated physics across ions, protons, neutrons, electrons, and muons
