Fitting coarse-grained models to macroscopic experimental data via automatic differentiation

Proceedings of the National Academy of Sciences, Volume 123, Number 14, April 2026.
ImportanceThe development of physics-based models for molecular simulation often involves complex and opaque procedures that hinder reproducibility and progress. Our work leverages computational techniques inspired by machine learning to improve…