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Updated: Mar 13, 2026

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
Published on: April 12, 2019
Uncertainty quantification for quantum chemical models of complex reaction networks
Jonny Proppe1, Tamara Husch1, Gregor N Simm1
1Laboratory of Physical Chemistry, ETH Zürich, Zürich, Switzerland. markus.reiher@phys.chem.ethz.ch.
This study introduces discrete-time kinetic simulations that approximate complex chemical reaction mechanisms by accounting for free energy uncertainties. This method enables quantitative flux analysis across multiple timescales for general reaction networks.
Area of Science:
- Computational Chemistry
- Chemical Kinetics
- Theoretical Chemistry
Background:
- Accurately quantifying complex chemical reaction mechanisms requires precise free energy surfaces and continuous state space reaction rate equations.
- These requirements pose significant computational challenges for general reaction networks.
Purpose of the Study:
- To develop a computationally feasible approach for analyzing complex chemical reaction mechanisms.
- To incorporate free energy uncertainties into kinetic simulations for physically consistent approximations.
- To enable quantitative flux analysis in reaction networks across multiple timescales.
Main Methods:
- Discrete-time kinetic simulations in a discrete state space.
- Incorporation of free energy uncertainties into the simulations.
- Utilizing thermo-chemical data from electronic structure calculations in a condensed-phase model.
- Demonstration using the formose reaction network.
Main Results:
- The developed method provides a physically consistent way to approximate free energy surfaces and reaction rates.
- It allows for quantitative flux determination in reaction networks spanning multiple time scales.
- The approach effectively identifies regions in reaction networks requiring further detailed investigation due to uncertainties.
Conclusions:
- Discrete-time kinetic simulations with free energy uncertainties offer a viable alternative for complex reaction analysis.
- This method aids in prioritizing further computational resources for high-uncertainty regions.
- It facilitates a more efficient and targeted approach to understanding intricate chemical processes.
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