
Welcome to the digital hub of the
Berkemeier Research 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.
2026/07/30 – The webpage is live! The first accessible models are Krüger et al.'s Vapor Pressure Estimator, Lelieveld et al.'s KM-SUB-ELF, and Krüger et al.'s Biocrust Gas Exchange Model.
As research group within the Multiphase Chemistry Department (Prof. Dr. 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.