Utilizing physical information to improve the performance of conventional neural networks is becoming a promising research direction in scientific computing recently. For multiphase flows, it would require significant computational resources for network training due large gradients near interface between two fluids. Based on idea physics-informed (PINNs), modified deep learning framework Bubble...

Overcoming friction while generating useful torque is a challenge for micro engines. Here we report the development of microscale engine that utilizes transition boiling as mode propulsion and Leidenfrost effect friction-less bearing. The shows significantly improved performance compared to engine, which uses vapor entrainment mechanism (up 3 orders magnitude higher efficiency). We characterize...

Bubbles are ubiquitous in many natural and engineering processes, bubble bursting aerosols of particular interest because their critical role mass momentum transfer across interfaces. All prior studies claim that a millimeter-sized bare at an aqueous surface produces jet drops with typical size $\boldsymbol{O}$(100 $\si{\micro\relax}$m), much larger than film $\boldsymbol{O}$(1 $\si{\micro\rela...