The prediction of renewable energy plays a critical role in optimizing the operation, fault
diagnosis, and other essential tasks within its energy system. Given the scarcity of labeled …

Liquid droplets on superheated surfaces produce the Leidenfrost effect. This phenomenon
might lead to droplet manipulation and control strategies in microfluidics and thermal …

In this paper, a physics-informed neural network (PINN) technique is developed to study a
two-phase film boiling heat transfer process. Data generated through computational fluid …

In this work, a further modified Tesla Valva type microchannel: open-groove microchannel of
sector bump (OGMCSB) was proposed and optimized for efficient thermal management. The …

Boiling heat transfer is an efficient and green heat transfer method that is widely used in
industrial production. Single bubble pool boiling is a specific case of pool boiling, which …

Surfactants have been widely used in various industrial fields. Simply adding a small
amount of surfactant can greatly enhance the boiling heat transfer of water, which can …

Boiling two-phase transition is considered to be the ultimate effective cooling strategy for the
next generation of high-power devices in the near future in various application scenarios …

Precise monitoring and forecasting of boiling dynamics are crucial for ensuring reliability
near critical conditions in thermal systems. This study applies Convolutional Neural Network …

Pool boiling, a fundamental heat transfer process, has been extensively studied due to its
importance in various industrial applications. This paper presents a multi-task deep learning …

Effective use of low-grade energy is a vital issue for a more sustainable society. Here, we
propose a water pump using a low-height overhang structure that effectively uses an …