This paper presents the deep learning assisted distorted Born iterative method (DBIM) for
permittivity reconstruction of dielectric objects. The inefficiency of DBIM to reconstruct strong …

Since the introduction of Maxwell's equations in the 19th century, computational
electromagnetics has dramatically increased development. This growth can be attributed to …

We introduce a computational framework that incorporates multiple scattering for large-scale
three-dimensional (3-D) particle localization using single-shot in-line holography. Traditional …

Novel machine learning computational tools open new perspectives for quantum information
systems. Here we adopt the open-source programming library TensorFlow to design multi …

Computed Tomography (CT) is an essential imaging tool for medical inspection, diagnosis
and prevention. While X-rays CT is a consolidated technology, there is nowadays a strong …

Non-line-of-sight (NLOS) imaging of hidden objects is a challenging yet vital task, facilitating
important applications such as rescue operations, medical imaging, and autonomous …

Seismic full waveform inversion (FWI) is a powerful geophysical imaging technique that
produces high-resolution subsurface models by iteratively minimizing the misfit between the …

Neural network–based inverse design of nanophotonic device network is computationally
and time efficient, but in general suffers the problems of robustness and stability against …

Fourier ptychographic microscopy is a technique that achieves a high space-bandwidth
product, ie high resolution and high field-of-view. In Fourier ptychographic microscopy …

Speckle patterns produced by disordered scattering systems exhibit a sensitivity to addition
of individual particles, which can be used for sensing applications. Using a coupled dipole …