Kerstin Münnemann

15PUBLICATIONS
36CO-AUTHORS
Computational methods in fluid flow, heat and mass transfer (incl. computational fluid dynamics)Reaction kinetics and dynamicsProcess control and simulationSemi- and unsupervised learningNonlinear optics and spectroscopy
Featured researcher

Get your video featured.

JoVEPublish with JoVE
Journal

Publications (15)

|Oct 05, 2026
Hybrid machine learning for enhanced prediction of diffusion coefficients in liquids.

|May 15, 2026
Enabling Quantitative Benchtop 13C NMR Spectroscopy in Fast Continuous Flow.

|Mar 31, 2026
Batch Distillation Data for Developing Machine Learning Anomaly Detection Methods.

Justus Arweiler, Indra Jungjohann, Aparna Muraleedharan

|Aug 29, 2025
Improvement of Diffusion Coefficient Prediction by Active Learning.

Zeno Romero, Kerstin Münnemann, Hans Hasse

|Jul 19, 2025
Quantitative Nuclear Magnetic Resonance Spectroscopy with Overhauser Dynamic Nuclear Polarization.

Johnnie Phuong, Raphael Kircher, Sarah Mross

|Feb 21, 2025
Overhauser Dynamic Nuclear Polarization Enables Single Scan Benchtop 13C NMR Spectroscopy in Continuous-Flow.

Johnnie Phuong, Billy Salgado, Tom Labusch

Pageof 3

Frequent Collaborators

7 joint publications

Hans Hasse

5 joint publications

Fabian Jirasek

3 joint publications

James Eills

3 joint publications

Raphael Kircher