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Showing results (91-100 of 94) with videos related to

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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.
Food Research International (Ottawa, Ont.)|March 1, 2025
Real-time monitoring of fermentation processes in wine production with benchtop <sup>1</sup>H NMR spectroscopyJohnnie Phuong, Billy Salgado, Jana Heiß, et al.
Journal of Chemical Theory and Computation|November 21, 2015
ls1 mardyn: The Massively Parallel Molecular Dynamics Code for Large SystemsChristoph Niethammer, Stefan Becker, Martin Bernreuther, et al.
Journal of Chemical Theory and Computation|July 25, 2017
Round Robin Study: Molecular Simulation of Thermodynamic Properties from Models with Internal Degrees of FreedomMichael Schappals, Andreas Mecklenfeld, Leif Kröger, et al.
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Showing results (91-100 of 94) with videos related to

Sort By:
Pageof 10
You have reached the last page of results.This site can display upto 94 results.
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.
Food Research International (Ottawa, Ont.)|March 1, 2025
Real-time monitoring of fermentation processes in wine production with benchtop <sup>1</sup>H NMR spectroscopyJohnnie Phuong, Billy Salgado, Jana Heiß, et al.
Journal of Chemical Theory and Computation|November 21, 2015
ls1 mardyn: The Massively Parallel Molecular Dynamics Code for Large SystemsChristoph Niethammer, Stefan Becker, Martin Bernreuther, et al.
Journal of Chemical Theory and Computation|July 25, 2017
Round Robin Study: Molecular Simulation of Thermodynamic Properties from Models with Internal Degrees of FreedomMichael Schappals, Andreas Mecklenfeld, Leif Kröger, et al.
Pageof 10