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Updated: Oct 16, 2026

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
Published on: April 8, 2020
Prediction of solvent aggregation in CO2-loaded aqueous amines using machine learning molecular dynamics simulations
1McKetta Department of Chemical Engineering, University of Texas at Austin, Austin, Texas 78712, USA.
Abstract:
Aggregation of ion pairs formed during CO2 capture may govern absorption thermodynamics and kinetics, but it is often overestimated by fixed-charge classical force fields. Here, we demonstrate the promise of graph neural network interatomic potentials, which offer quantum-level accuracy, for directly evaluating the aggregation tendencies of ionic products in CO2-loaded aqueous amine solutions.
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