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Combining Molecular Dynamics and Machine Learning to Predict Self-Solvation Free Energies and Limiting Activity Coefficients

J. Gebhardt, M. Kiesel, S. Riniker, and N. Hansen. Journal of chemical information and modeling, 60 (11): 5319-5330 (2020)
DOI: 10.1021/acs.jcim.0c00479

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Dr. Sebastian Kiesel University of Stuttgart

Matthias Keinert

Concept of a Computerized Numerical Control Kernel for Execution on Multi-core ProcessorsM. Keinert, A. Lechler, and A. Verl. IEEE Advanced Motion Control, page 599-604. (April 2016)

Concept of a Computerized Numerical Control Kernel for Execution on Multi-core ProcessorsM. Keinert, A. Lechler, and A. Verl. IEEE Advanced Motion Control, page 599-604. (April 2016)OPC UA Informationsmodell für CNC-Datenschnittstellen : standardisierte Schnittstelle für CNC-WerkzeugmaschinenM. Keinert, and A. Lechler. Automation 2015, 2258, page 593-604. Düsseldorf, VDI-Verl., (2015)Aufwertung von HMI-Systemen durch Design, Austauschbarkeit und IntelligenzM. Keinert, and P. Pruschek. (2013)

Prof. iR Dr. -Ing. Matthias Reuß University of Stuttgart

Matthias Bachmann

Matthias Bachmann

Other publications of authors with the same name

Combining Molecular Dynamics and Machine Learning to Predict Self-Solvation Free Energies and Limiting Activity CoefficientsJ. Gebhardt, M. Kiesel, S. Riniker, and N. Hansen. Journal of chemical information and modeling, 60 (11): 5319-5330 (2020)