Uncovering the effects of interface-induced ordering of liquid on crystal growth using machine learning
Crystallization is a challenging process to model quantitatively. Here the authors use machine learning and atomistic simulations together to uncover the role of the liquid structure on the process of crystallization and derive a predictive kinetic model of crystal growth.
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| Format: | Article |
| Language: | English |
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Nature Publishing Group
2020-06-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-020-16892-4 |
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doaj-964c406f580d4fc48ff08ec6be350803 |
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Article |
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doaj-964c406f580d4fc48ff08ec6be3508032021-06-27T11:14:31ZengNature Publishing GroupNature Communications2041-17232020-06-0111111010.1038/s41467-020-16892-4Uncovering the effects of interface-induced ordering of liquid on crystal growth using machine learningRodrigo Freitas0Evan J. Reed1Department of Materials Science and Engineering, Stanford UniversityDepartment of Materials Science and Engineering, Stanford UniversityCrystallization is a challenging process to model quantitatively. Here the authors use machine learning and atomistic simulations together to uncover the role of the liquid structure on the process of crystallization and derive a predictive kinetic model of crystal growth.https://doi.org/10.1038/s41467-020-16892-4 |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Rodrigo Freitas Evan J. Reed |
| spellingShingle |
Rodrigo Freitas Evan J. Reed Uncovering the effects of interface-induced ordering of liquid on crystal growth using machine learning Nature Communications |
| author_facet |
Rodrigo Freitas Evan J. Reed |
| author_sort |
Rodrigo Freitas |
| title |
Uncovering the effects of interface-induced ordering of liquid on crystal growth using machine learning |
| title_short |
Uncovering the effects of interface-induced ordering of liquid on crystal growth using machine learning |
| title_full |
Uncovering the effects of interface-induced ordering of liquid on crystal growth using machine learning |
| title_fullStr |
Uncovering the effects of interface-induced ordering of liquid on crystal growth using machine learning |
| title_full_unstemmed |
Uncovering the effects of interface-induced ordering of liquid on crystal growth using machine learning |
| title_sort |
uncovering the effects of interface-induced ordering of liquid on crystal growth using machine learning |
| publisher |
Nature Publishing Group |
| series |
Nature Communications |
| issn |
2041-1723 |
| publishDate |
2020-06-01 |
| description |
Crystallization is a challenging process to model quantitatively. Here the authors use machine learning and atomistic simulations together to uncover the role of the liquid structure on the process of crystallization and derive a predictive kinetic model of crystal growth. |
| url |
https://doi.org/10.1038/s41467-020-16892-4 |
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AT rodrigofreitas uncoveringtheeffectsofinterfaceinducedorderingofliquidoncrystalgrowthusingmachinelearning AT evanjreed uncoveringtheeffectsofinterfaceinducedorderingofliquidoncrystalgrowthusingmachinelearning |
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