Prediction of complex fluid flows from sparse and noisy sensor measurements is widely
applied to many engineering fields. In the present study, a novel compressed sensing …

The effect of friction is widespread around us, and most important projects must consider the
friction effect. To better depict the dynamic characteristics of multibody systems with friction …

Due to the low conversion efficiency and limited figure of merit (ZT) of thermoelectric
modules (TEMs), the output power of thermoelectric generators (TEGs) should be improved …

Time-dependent flow fields are typically generated by a computational fluid dynamics
method, which is an extremely time-consuming process. However, the latent relationship …

Classical problems in computational physics such as data-driven forecasting and signal
reconstruction from sparse sensors have recently seen an explosion in deep neural network …

In practical engineering scenarios, constraints arising from sensor placement, quantity, and
the limitations of current testing technologies often lead to turbulence data characterized by …

Background Digital image correlation (DIC) is a powerful experimental tool for measuring full-
field material deformations. Inherent limitations of typical DIC algorithms can cause a …

Reduced order models, such as Hollkamp and Gordon's Implicit Condensation and
Expansion (ICE) model, are a highly efficient alternative to full-order finite element models …

The output performance of thermoelectric generator using thermoelectric modules can be
improved by optimizing the heat exchanger structure, but this may cause compatibility issues …

A simulation tool capable of speeding up the calculation for linear poroelasticity problems in
heterogeneous porous media is of large practical interest for engineers, in particular, to …