Uncertainty quantified discovery of chemical reaction systems via Bayesian scientific machine learning
Emily Nieves, Raj Dandekar, Christopher Rackauckas
This paper introduces a Bayesian framework using neural ODEs and pSGLD to discover chemical reaction pathways with uncertainty quantification, showing improved accuracy over standard SGLD.
Frontiers in Systems Biology · Mar 8, 2024Peer-reviewedSystems Biology