ArticleNature communications2020
Uncovering the effects of interface-induced ordering of liquid on crystal growth using machine learning.
Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 72 citations in OpenAlex.
- Rotation of Crystal Seed During Early Stages of Growth Reveals the Anisotropy of Glass Matrix.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Understanding How Synthetic Impurities Affect Glyphosate Solubility and Crystal Growth Using Free Energy Calculations and Molecular Dynamics Simulations.The journal of physical chemistry. B · 2026Article
- Article
- Hierarchical incremental learning deciphers molecular arrangements in multi-component materials.Nature communications · 2025Article
- Nonequilibrium chemical short-range order in metallic alloys.Nature communications · 2025Article
- Solid-Liquid Interfacial Free Energy from Computer Simulations: Challenges and Recent Advances.Chemical reviews · 2025Review
- Disentangling autoencoders and spherical harmonics for efficient shape classification in crystal growth simulations.Communications physics · 2025Article
- A joint diffusion/collision model for crystal growth in pure liquid metals.Nature communications · 2024Article
- Revealing the hidden structure of disordered materials by parameterizing their local structural manifold.Nature communications · 2024Article
- Multi-Prismatic Hollow Cube CeVONanomaterials (Basel, Switzerland) · 2023Article
- Limits to Crystallization Pressure.Langmuir : the ACS journal of surfaces and colloids · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
The process of crystallization is often understood in terms of the fundamental microstructural elements of the crystallite being formed, such as surface orientation or the presence of defects. Considerably less is known about the role of the liquid structure on the kinetics of crystal growth. Here atomistic simulations and machine learning methods are employed together to demonstrate that the liquid adjacent to solid-liquid interfaces presents significant structural ordering, which effectively reduces the mobility of atoms and slows down the crystallization kinetics. Through detailed studies of silicon and copper we discover that the extent to which liquid mobility is affected by interface-induced ordering (IIO) varies greatly with the degree of ordering and nature of the adjacent interface. Physical mechanisms behind the IIO anisotropy are explained and it is demonstrated that incorporation of this effect on a physically-motivated crystal growth model enables the quantitative prediction of the growth rate temperature dependence.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.