Revealing the void-size distribution of silica glass using persistent homology

Oxide glasses have proven to be useful across a wide range of technological applications. Nevertheless, their medium-range structure has remained elusive. Previous studies focused on ring statistics as a metric of the medium-range structure, but this metric provides an incomplete picture of the glassy structure. Here, we use atomistic simulations and state-of-the-art topological analysis tools, namely persistent homology (PH), to analyze the medium-range structure of the archetypal oxide glass (Silica) at ambient temperatures and with varying pressures. PH presents an unbiased definition of loops and voids, providing an advantage over other methods for studying the structure and topology of complex materials, such as glasses, across multiple length scales. We captured subtle topological transitions in medium-range order and cavity distributions, providing new insights into glass structure. Our work provides a robust way for extracting the void distribution of oxide glasses based on PH.

Authors

Institutions

Publication Details

Journal
Materialia
Published
2025-11-20
DOI
https://doi.org/10.1016/j.mtla.2025.102613
Citations
1
Primary Topic
Topological and Geometric Data Analysis
Type
article
Field-Weighted Citation Impact
1.50
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Revealing the void-size distribution of silica glass using persistent homology

Zhuocheng Xie, Achraf Atila, Yasser Bakhouch
1 citations
Materialia
Topological and Geometric Data Analysis
1.50
article

Revealing the void-size distribution of silica glass using persistent homology

Zhuocheng Xie, Achraf Atila, Yasser Bakhouch
article en
1 citations

Abstract

Oxide glasses have proven to be useful across a wide range of technological applications. Nevertheless, their medium-range structure has remained elusive. Previous studies focused on ring statistics as a metric of the medium-range structure, but this metric provides an incomplete picture of the glassy structure. Here, we use atomistic simulations and state-of-the-art topological analysis tools, namely persistent homology (PH), to analyze the medium-range structure of the archetypal oxide glass (Silica) at ambient temperatures and with varying pressures. PH presents an unbiased definition of loops and voids, providing an advantage over other methods for studying the structure and topology of complex materials, such as glasses, across multiple length scales. We captured subtle topological transitions in medium-range order and cavity distributions, providing new insights into glass structure. Our work provides a robust way for extracting the void distribution of oxide glasses based on PH.

MaterialiaVol. 44
Federal Institute For Materials Research and Testing (DE), Université Sultan Moulay Slimane (MA), RWTH Aachen University (DE)
Openalex Percentile: Top 12%
Topological and Geometric Data Analysis
1.50
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Revealing the void-size distribution of silica glass using persistent homology — Zhuocheng Xie, Achraf Atila, et al. · Materialia (2025) | TGRS Research Map | TGRS