静止液体中上升气泡簇的命运
Fate of bubble clusters rising in a quiescent liquid
AI总结：
本研究借助机器学习辅助追踪算法实验考察自由上升可变形气泡群，发现载液污染会促进气泡簇形成并延长其寿命，且簇内气泡上升速度最高可提升20%。
摘要：
我们通过实验研究了自由上升的可变形气泡群中气泡簇的演化。一种新的机器学习辅助算法使我们能够识别和追踪簇中的气泡，并测量簇的寿命。结果表明，载液中的污染会增强气泡簇的形成并延长簇的寿命。我们还探究了以气泡簇大小为条件的平均气泡上升速度，发现簇大小与簇内气泡的上升速度之间存在正相关，其中成簇气泡的上升速度比未成簇气泡快达20%。
英文摘要：
We use experiments to study the evolution of bubble clusters in a swarm of freely rising, deformable bubbles. A new machine learning-aided algorithm allows us to identify and track bubbles in clusters and measure the cluster lifetimes. The results indicate that contamination in the carrier liquid can enhance the formation of bubble clusters and prolong the cluster lifetimes. The mean bubble rise velocities conditioned on the bubble cluster size are also explored, and we find a positive correlation between the cluster size and the rise speed of the bubbles in the cluster, with clustered bubbles rising up to $20\%$ faster than unclustered bubbles.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
