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Journal of Magnetic Resonance (San Diego, Calif. : 1997)|November 12, 2017
An experimental validation of a Bayesian model for quantification in NMR spectroscopyYevgen Matviychuk, Erik von Harbou, Daniel J Holland
Journal of Magnetic Resonance (San Diego, Calif. : 1997)|December 19, 2024
Using machine learning to improve the hard modeling of NMR time seriesJan Hellwig, Tobias Strauß, Erik von Harbou, et al.
Magnetic Resonance (Gottingen, Germany)|October 31, 2023
Improving the accuracy of model-based quantitative nuclear magnetic resonanceYevgen Matviychuk, Ellen Steimers, Erik von Harbou, et al.
Journal of Magnetic Resonance (San Diego, Calif. : 1997)|September 19, 2020
Bayesian approach for automated quantitative analysis of benchtop NMR dataYevgen Matviychuk, Ellen Steimers, Erik von Harbou, et al.
Journal of Magnetic Resonance (San Diego, Calif. : 1997)|February 5, 2020
Prediction of flow effects in quantitative NMR measurementsAnne Friebel, Thomas Specht, Erik von Harbou, et al.
Magnetic Resonance in Chemistry : MRC|July 29, 2022
Accurate measurements of self-diffusion coefficients with benchtop NMR using a QM model-based approachEllen Steimers, Yevgen Matviychuk, Daniel J Holland, et al.
Chimia|March 28, 2024
Industrial Distillation Aspects of DiketeneMehmet Ogün Biçer, Erik Von Harbou, Andreas Klein, et al.
Magnetic Resonance in Chemistry : MRC|September 6, 2020
A comparison of non-uniform sampling and model-based analysis of NMR spectra for reaction monitoringEllen Steimers, Yevgen Matviychuk, Anne Friebel, et al.
Magnetic Resonance in Chemistry : MRC|November 12, 2019
Application of a new method for simultaneous phase and baseline correction of NMR signals (SINC)Ellen Steimers, Mathias Sawall, Richard Behrens, et al.
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