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Magnetic Resonance in Chemistry : MRC
|
July 29, 2022
Accurate measurements of self-diffusion coefficients with benchtop NMR using a QM model-based approach
Ellen Steimers, Yevgen Matviychuk, Daniel J Holland, et al.
Magnetic Resonance in Chemistry : MRC
|
July 29, 2023
Automated nuclear magnetic resonance fingerprinting of mixtures
Thomas Specht, Justus Arweiler, Johannes Stüber, et al.
Langmuir : the ACS Journal of Surfaces and Colloids
|
June 3, 2010
Contact angle dependence on the fluid-wall dispersive energy
Martin Horsch, Martina Heitzig, Calin Dan, et al.
The Journal of Chemical Physics
|
August 17, 2018
Three-dimensional phase field modeling of inhomogeneous gas-liquid systems using the PeTS equation of state
Felix Diewald, Michaela Heier, Martin Horsch, et al.
Nature Communications
|
April 14, 2026
Thermodynamically consistent machine learning model for excess Gibbs energy
Marco Hoffmann, Thomas Specht, Quirin Göttl, et al.
Chemical Science
|
June 3, 2022
Making thermodynamic models of mixtures predictive by machine learning: matrix completion of pair interactions
Fabian Jirasek, Robert Bamler, Sophie Fellenz, et al.
Journal of Chemical Theory and Computation
|
April 2, 2020
A Force Field for Poly(oxymethylene) Dimethyl Ethers (OME<i>n</i>)
Aditya Kulkarni, Edder J García, Angelo Damone, et al.
Scientific Data
|
March 31, 2026
Batch Distillation Data for Developing Machine Learning Anomaly Detection Methods
Justus Arweiler, Indra Jungjohann, Aparna Muraleedharan, et al.
The Journal of Chemical Physics
|
May 2, 2008
Homogeneous nucleation in supersaturated vapors of methane, ethane, and carbon dioxide predicted by brute force molecular dynamics
Martin Horsch, Jadran Vrabec, Martin Bernreuther, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
May 17, 2012
Excess equimolar radius of liquid drops
Martin Horsch, Hans Hasse, Alexander K Shchekin, et al.
Page
of 10
Search research articles
Search
Showing results (81-90 of 94) with videos related to
Sort By:
Page
of 10
Magnetic Resonance in Chemistry : MRC
|
July 29, 2022
Accurate measurements of self-diffusion coefficients with benchtop NMR using a QM model-based approach
Ellen Steimers, Yevgen Matviychuk, Daniel J Holland, et al.
Magnetic Resonance in Chemistry : MRC
|
July 29, 2023
Automated nuclear magnetic resonance fingerprinting of mixtures
Thomas Specht, Justus Arweiler, Johannes Stüber, et al.
Langmuir : the ACS Journal of Surfaces and Colloids
|
June 3, 2010
Contact angle dependence on the fluid-wall dispersive energy
Martin Horsch, Martina Heitzig, Calin Dan, et al.
The Journal of Chemical Physics
|
August 17, 2018
Three-dimensional phase field modeling of inhomogeneous gas-liquid systems using the PeTS equation of state
Felix Diewald, Michaela Heier, Martin Horsch, et al.
Nature Communications
|
April 14, 2026
Thermodynamically consistent machine learning model for excess Gibbs energy
Marco Hoffmann, Thomas Specht, Quirin Göttl, et al.
Chemical Science
|
June 3, 2022
Making thermodynamic models of mixtures predictive by machine learning: matrix completion of pair interactions
Fabian Jirasek, Robert Bamler, Sophie Fellenz, et al.
Journal of Chemical Theory and Computation
|
April 2, 2020
A Force Field for Poly(oxymethylene) Dimethyl Ethers (OME<i>n</i>)
Aditya Kulkarni, Edder J García, Angelo Damone, et al.
Scientific Data
|
March 31, 2026
Batch Distillation Data for Developing Machine Learning Anomaly Detection Methods
Justus Arweiler, Indra Jungjohann, Aparna Muraleedharan, et al.
The Journal of Chemical Physics
|
May 2, 2008
Homogeneous nucleation in supersaturated vapors of methane, ethane, and carbon dioxide predicted by brute force molecular dynamics
Martin Horsch, Jadran Vrabec, Martin Bernreuther, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
May 17, 2012
Excess equimolar radius of liquid drops
Martin Horsch, Hans Hasse, Alexander K Shchekin, et al.
Page
of 10