A roadmap for decoding the sound of boiling
Abstract
Bubble acoustics offers a powerful window into the complex physics of liquid-vapor phase-change phenomena such as boiling. Advancing this field requires a synergistic convergence of improved physical understanding, rigorous experimental standardization with optimized acoustic sensing, and integration of interpretable data-driven modeling. This perspective outlines a unified roadmap emphasizing experimental fidelity, open standardized datasets, and explainable machine learning for intelligent, real-time diagnostics in next-generation multiphase thermal systems.
Fields of Study & Subjects
Heat Transfer and Boiling Studies
Nuclear Engineering Thermal-Hydraulics
Machine Learning in Materials Science
Publication details
- Journal / source
- npj Thermal Science and Engineering
- Publisher
- Springer Science and Business Media LLC
- Volume
- 1
- Issue
- 1
- Publication date
- 22 January 2026
- Language
- EN