ReviewPhilosophical transactions. Series A, Mathematical, physical, and engineering sciences2023
Review: understanding the properties of amorphous materials with high-performance computing methods.
Review in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed.
- Boron-assisted synthesis of compositionally complex amorphous oxides via short-range-order-constrained generative design.Science advances · 2026Article
- Origin of Structural Variations in Amorphous SiOThe journal of physical chemistry. C, Nanomaterials and interfaces · 2026Article
- Construction of Amorphous Structure Models via Relaxation of Random Arrangements of Molecules.Physical review materials · 2026Article
- Unveiling hydrogen chemical states in supersaturated amorphous alumina via machine learning-driven atomistic modeling.npj computational materials · 2025Article
- On the Structure of Oxygen Deficient Amorphous Oxide Films.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Supercomputing modelling of advanced materials: preface.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Amorphous materials have no long-range order in their atomic structure. This makes much of the formalism for the study of crystalline materials irrelevant, and so elucidating their structure and properties is challenging. The use of computational methods is a powerful complement to experimental studies, and in this paper we review the use of high-performance computing methods in the simulation of amorphous materials. Five case studies are presented to showcase the wide range of materials and computational methods available to practitioners in this field. This article is part of a discussion meeting issue 'Supercomputing simulations of advanced materials'.
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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.