
Welcome to the digital hub of the Berkemeier Group at the Max Planck Institute for Chemistry.
Browse this webpage to explore all of our openly available scientific models.

Select one of our available kinetic and machine learning models.
Predicts vapor pressure at 298K using Adaptive-Depth Graph CNNs.
Predicts biological soil crust CO₂ gas exchange from environmental variables.
Simulates reactive oxygen species production from air pollution in the respiratory tract.
2026/02/01 – The webpage is live! The first accessible model is Krüger et al's machine learning tool for vapor pressure estimation.
2026/07/24 – Two more models have been added, Lelieveld et al's KM-SUB-ELF kinetic multilayer model of the human respiratory tract, and Krüger et al's prediction model for the CO2 gas exchange of biological soil crusts.
Situated within the Multiphase Chemistry Department (Prof. Ulrich Pöschl) at the Max Planck Institute for Chemistry, Mainz, our group focuses on the investigation of chemical kinetics in the atmosphere, in technical applications and in the human body.