Evidence map›Paper›PMID 29735667›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2018

Molecular dynamics simulations of liquid silica crystallization.

Haiyang Niu, Pablo M Piaggi, Michele Invernizzi, Michele Parrinello

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

  1. Crystallization of Glasses: A Theoretical Analysis of the Role of Fragility and Polymorphism in Crystals.Chemphyschem : a European journal of chemical physics and physical chemistry · 2026
    Article
  2. Rotation of Crystal Seed During Early Stages of Growth Reveals the Anisotropy of Glass Matrix.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  3. The role of fluctuations in the nucleation process.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  9. Maximum Entropy-Mediated Liquid-to-Solid Nucleation and Transition.Journal of chemical theory and computation · 2025
    Article
  10. Layer-by-layer phase transformation in TiNature communications · 2024
    Article
  11. Symmetries and asymmetries in the neural encoding of 3D space.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Haiyang NiuDepartment of Chemistry and Applied Biosciences, Eidgenossische Technische Hochschule (ETH) Zurich c/o Università della Svizzera Italiana Campus, 6900 Lugano, Switzerland.
Pablo M PiaggiFacoltà di Informatica, Instituto di Scienze Computationali, and National Center for Computational Design and Discovery of Novel Materials (MARVEL), Università della Svizzera Italiana, 6900 Lugano, Switzerland.
Michele InvernizziFacoltà di Informatica, Instituto di Scienze Computationali, and National Center for Computational Design and Discovery of Novel Materials (MARVEL), Università della Svizzera Italiana, 6900 Lugano, Switzerland.
Michele ParrinelloDepartment of Chemistry and Applied Biosciences, Eidgenossische Technische Hochschule (ETH) Zurich c/o Università della Svizzera Italiana Campus, 6900 Lugano, Switzerland; parrinello@phys.chem.ethz.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Silica is one of the most abundant minerals on Earth and is widely used in many fields. Investigating the crystallization of liquid silica by atomic simulations is of great importance to understand the crystallization mechanism; however, the high crystallization barrier and the tendency of silica to form glasses make such simulations very challenging. Here we have studied liquid silica crystallization to β-cristobalite with metadynamics, using X-ray diffraction (XRD) peak intensities as collective variables. The frequent transitions between solid and liquid of the biased runs demonstrate the highly successful use of the XRD peak intensities as collective variables, which leads to the convergence of the free-energy surface. By calculating the difference in free energy, we have estimated the melting temperature of β-cristobalite, which is in good agreement with the literature. The nucleation mechanism during the crystallization of liquid silica can be described by classical nucleation theory.

Indexed as

classical nucleation theorycrystallizationfree-energy calculationsmetadynamicssilica

Identifiers

PMID29735667
PMCPMC6003482

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Registered trials

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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.