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Robert Bamler

Showing results (1-10 of 4) with videos related to

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Chemical Communications (Cambridge, England)|September 16, 2020
Hybridizing physical and data-driven prediction methods for physicochemical propertiesFabian Jirasek, Robert Bamler, Stephan Mandt
Physical Review Letters|March 5, 2009
Hydrodynamic object recognition: when multipoles countAndreas B Sichert, Robert Bamler, J Leo van Hemmen
Chemical Science|June 3, 2022
Making thermodynamic models of mixtures predictive by machine learning: matrix completion of pair interactionsFabian Jirasek, Robert Bamler, Sophie Fellenz, et al.
The Journal of Physical Chemistry Letters|January 23, 2020
Machine Learning in Thermodynamics: Prediction of Activity Coefficients by Matrix CompletionFabian Jirasek, Rodrigo A S Alves, Julie Damay, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Chemical Communications (Cambridge, England)|September 16, 2020
Hybridizing physical and data-driven prediction methods for physicochemical propertiesFabian Jirasek, Robert Bamler, Stephan Mandt
Physical Review Letters|March 5, 2009
Hydrodynamic object recognition: when multipoles countAndreas B Sichert, Robert Bamler, J Leo van Hemmen
Chemical Science|June 3, 2022
Making thermodynamic models of mixtures predictive by machine learning: matrix completion of pair interactionsFabian Jirasek, Robert Bamler, Sophie Fellenz, et al.
The Journal of Physical Chemistry Letters|January 23, 2020
Machine Learning in Thermodynamics: Prediction of Activity Coefficients by Matrix CompletionFabian Jirasek, Rodrigo A S Alves, Julie Damay, et al.
Pageof 1