Coalescence-Induced Droplet Jum** for Electro-Thermal Sensing
Jum** droplet condensation, whereby microdroplets (ca. 1–100 μm) coalescing on
suitably designed superhydrophobic surfaces jump away from the surface, has recently …
suitably designed superhydrophobic surfaces jump away from the surface, has recently …
[HTML][HTML] Machine learning boiling prediction: From autonomous vision of flow visualization data to performance parameter theoretical modeling
Flow boiling is a highly efficient configuration for meeting the high heat dissipation demands
of thermal management systems. However, the complex physics of two-phase flow has …
of thermal management systems. However, the complex physics of two-phase flow has …
Artificial intelligence for liquid-vapor phase-change heat transfer
Artificial intelligence (AI) is shifting the paradigm of two-phase heat transfer research. Recent
innovations in AI and machine learning uniquely offer the potential for collecting new types …
innovations in AI and machine learning uniquely offer the potential for collecting new types …
Modeling Flow Boiling Utilizing Machine Learning Vision Data
Flow boiling is a very efficient configuration for meeting the high heat dissipation demands of
thermal management systems. However, the lack of a clear understanding of physics …
thermal management systems. However, the lack of a clear understanding of physics …