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Carl S Adorf

Showing results (1-10 of 5) with videos related to

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The Journal of Chemical Physics|December 4, 2018
Inverse design of simple pair potentials for the self-assembly of complex structuresCarl S Adorf, James Antonaglia, Julia Dshemuchadse, et al.
Npj Computational Materials|May 16, 2024
The rule of four: anomalous distributions in the stoichiometries of inorganic compoundsElena Gazzarrini, Rose K Cersonsky, Marnik Bercx, et al.
The Journal of Physical Chemistry. B|December 10, 2019
Analysis of Self-Assembly Pathways with Unsupervised Machine Learning AlgorithmsCarl S Adorf, Timothy C Moore, Yannah J U Melle, et al.
Scientific Data|September 9, 2020
Materials Cloud, a platform for open computational scienceLeopold Talirz, Snehal Kumbhar, Elsa Passaro, et al.
Scientific Data|September 9, 2020
AiiDA 1.0, a scalable computational infrastructure for automated reproducible workflows and data provenanceSebastiaan P Huber, Spyros Zoupanos, Martin Uhrin, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
The Journal of Chemical Physics|December 4, 2018
Inverse design of simple pair potentials for the self-assembly of complex structuresCarl S Adorf, James Antonaglia, Julia Dshemuchadse, et al.
Npj Computational Materials|May 16, 2024
The rule of four: anomalous distributions in the stoichiometries of inorganic compoundsElena Gazzarrini, Rose K Cersonsky, Marnik Bercx, et al.
The Journal of Physical Chemistry. B|December 10, 2019
Analysis of Self-Assembly Pathways with Unsupervised Machine Learning AlgorithmsCarl S Adorf, Timothy C Moore, Yannah J U Melle, et al.
Scientific Data|September 9, 2020
Materials Cloud, a platform for open computational scienceLeopold Talirz, Snehal Kumbhar, Elsa Passaro, et al.
Scientific Data|September 9, 2020
AiiDA 1.0, a scalable computational infrastructure for automated reproducible workflows and data provenanceSebastiaan P Huber, Spyros Zoupanos, Martin Uhrin, et al.
Pageof 1