# Neural networks trained on simulations boost scientific inference accuracy

Researchers show that training neural networks on mechanistic simulation data can significantly improve the accuracy of scientific inference from real-world observations. This approach bridges simulation and data-driven modeling, offering a powerful tool for fields that rely on complex system models.

**Importance:** 3/5

## Sources

### Science
- [Nature](https://www.nature.com/articles/s41598-026-64106-6) — 2026-08-12