Rising bubbles draw surface patterns: A numerical study

Small bubbles rising in a chain can self-organize into regular patterns upon reaching a liquid's free surface. This phenomenon is investigated through direct numerical simulations. By varying the bubble release period, distinct branching patterns characterized by different numbers of arms are observed. These macroscopic regular configurations arise from localized non-contact repulsion and pair collisions between bubbles as they arrive at the free-surface emergence site. A theoretical model is proposed to quantitatively relate the number of branches to the bubble release period. The model also predicts probabilities of observing specific arm counts in reality. This study provides insights into broader nonlinear pattern formation and self-organization phenomena.

Authors

Institutions

Publication Details

Journal
Physical Review Fluids
Published
2026-01-13
DOI
https://doi.org/10.1103/bd6d-fwmn
Primary Topic
Pickering emulsions and particle stabilization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Rising bubbles draw surface patterns: A numerical study

Guangzhao Zhou, Zhigang Zuo, Lang Qin, D. Li
Physical Review Fluids
Pickering emulsions and particle stabilization
article

Rising bubbles draw surface patterns: A numerical study

Guangzhao Zhou, Zhigang Zuo, Lang Qin, D. Li
article en

Abstract

Small bubbles rising in a chain can self-organize into regular patterns upon reaching a liquid's free surface. This phenomenon is investigated through direct numerical simulations. By varying the bubble release period, distinct branching patterns characterized by different numbers of arms are observed. These macroscopic regular configurations arise from localized non-contact repulsion and pair collisions between bubbles as they arrive at the free-surface emergence site. A theoretical model is proposed to quantitatively relate the number of branches to the bubble release period. The model also predicts probabilities of observing specific arm counts in reality. This study provides insights into broader nonlinear pattern formation and self-organization phenomena.

Physical Review FluidsVol. 11(2)
University of Chinese Academy of Sciences (CN), Tsinghua University (CN)
Openalex Percentile: Top 100%
Pickering emulsions and particle stabilization
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.