Mixed ionic-eelectronic conductors (MIECs) play a crucial role in the landscape of energy
conversion and storage technologies, with a pronounced focus on electrode materials' …

The present study initially evaluates the feasibility of deep learning models to predict the
flow and thermal fields of a wing with a symmetric wavy disturbance as the passive flow …

A deep-learning segmentation model was proposed to predict steady-state thermal fields.
The U-Net architecture was used in a reversed order, with the body segments serving as …

This paper presents an iterative topology optimizer for conductive heat transfer structures
based on the Fourier neural operator (FNO). A data-driven model based on FNO is trained to …

Electric aircraft propulsion systems powered by fuel cells are sensitive to operating
temperature. With a roughly 50% efficiency of fuel cells, the requirement of heat rejection is a …

Heat exchangers (HEX) are one of the most crucial components in the thermal management
system of future electrified aircraft. To precisely model the convective heat transfer, high …

Mixed ionic-electronic conductors (MIECs) play a crucial role in the landscape of energy
conversion and storage technologies, with a pronounced focus on electrode materials' …

A system and method for determining a geometry of a heat exchanger including boundary
representation of one or more shapes. The method including: receiving input aspects of a …