Electron tomography has become a commonly used tool to investigate the three-
dimensional (3D) structure of nanomaterials, including colloidal nanoparticle assemblies …

Temperature and concentration distributions are essential parameters for understanding
physicochemical processes in the in-cylinder/in-chamber engine and develo** efficient …

Most current full-waveform inversion (FWI) algorithms minimize the data residuals to
estimate a velocity model based on the assumption that the updated model is the sum of a …

Joint inversion has drawn considerable attention due to the availability of multiple
geophysical data sets, ever-increasing computational resources, the development of …

Full-waveform inversion (FWI) attempts to resolve an ill-posed nonlinear optimization
problem to retrieve the unknown subsurface model parameters from seismic data. In …

The performance of physical layer authentication schemes strongly suffers from the
uncertainties and dynamics of communications, which are mainly caused by the time …

Depth imaging projects dedicated to hydrocarbon exploration or field development rely
heavily on velocity model building. When salt bodies are present, their accurate delineation …

Reconstructing an accurate and high-resolution subsurface model is attractive in the fields of
both geology and seismology. However, due to the band-limited characteristics of seismic …

Data assimilation has widespread applications in meteorology and oceanography. This
paper applies data assimilation for seismic exploration. Comparing with full waveform …

This paper presents a new computational framework in electrical impedance tomography
(EIT) for shape reconstruction based on the concept of moving morphable components …