Formation-consumption neural networks for efficient chemical kinetics modeling - Felix Döppel; Tim Kircher; Martin Votsmeier (Chemical Engineering Journal, 2026)

Learning kinetics from non-ideal reactors by implicitly solved finite volumes and global reaction neural networks - Tim Kircher; Martin Votsmeier (Chemical Engineering Journal, 2025)

Enabling micro-kinetics based simulation of industrial packed-bed reactors by physics-enhanced neural networks - Felix Biermann; Riccardo Uglietti; Felix A. Döppel; Tim Kircher; Mauro Bracconi; Matteo Maestri; Martin Votsmeier (Chemical Engineering Journal, 2025)

Global reaction neural networks with embedded stoichiometry and thermodynamics for learning kinetics from reactor data - Tim Kircher; Felix A. Döppel; Martin Votsmeier (Chemical Engineering Journal, 2024)