2024-03-28T21:41:53Z
https://archive.materialscloud.org/xml
oai:materialscloud.org:556
2020-11-05T17:21:40Z
DOI
Zamani, Mahdi
Imbalzano, Giulio
Tappy, Nicolas
Alexander, Duncan T. L.
Martí-Sánchez, Sara
Ghisalberti, Lea
Ramasse, Quentin M.
Friedl, Martin
Tütüncüoglu, Gözde
Francaviglia, Luca
Bienvenue, Sebastien
Hébert, Cécile
Arbiol, Jordi
Ceriotti, Michele
Fontcuberta i Morral, Anna
2020-11-05
The nature of the liquid–solid interface determines the characteristics of a variety of physical phenomena, including catalysis, electrochemistry, lubrication, and crystal growth. Most of the established models for crystal growth are based on macroscopic thermodynamics, neglecting the atomistic nature of the liquid–solid interface. Here, experimental observations and molecular dynamics simulations are employed to identify the 3D nature of an atomic‐scale ordering of liquid Ga in contact with solid GaAs in a nanowire growth configuration. An interplay between the liquid ordering and the formation of a new bilayer is revealed, which, contrary to the established theories, suggests that the preference for a certain polarity and polytypism is influenced by the atomic structure of the interface. The conclusions of this work open new avenues for the understanding of crystal growth, as well as other processes and systems involving a liquid–solid interface.
https://archive.materialscloud.org/record/2020.141
doi:10.24435/materialscloud:tx-2p
mcid:2020.141
oai:materialscloud.org:556
en
Materials Cloud
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode
Molecular dynamics simulations
Neural network potential
Gallium Arsenide
GaAs
Ordering at the interface
Nanowire
Machine learning potential
SNSF
MARVEL
3D ordering at the liquid–solid polar interface of nanowires
Dataset