Deep learning has become the dominant approach in artificial intelligence to solve complex
data-driven problems. Originally applied almost exclusively in computer-science areas such …

Metasurfaces are composed of periodic sub-wavelength nanostructures and exhibit optical
properties that are not found in nature. They have been widely investigated for optical …

The efficiency of traditional solar cells is constrained due to the Shockley–Queisser limit, to
circumvent this theoretical limit, the concept of solar thermophotovoltaics (STPVs) has been …

Nano-structure based metamaterial absorbers have been getting enormous interest owing
to their widespread applications in solar cells, thermal emitters and integrated photonic …

The efficient control of optical light at the nanoscale level attracts marvelous applications,
including thermal imaging, energy harvesting, thermal photovoltaics, etc. These applications …

Metamaterial absorbers have been extensively researched due to their potential
applications in photonics. This paper presents a highly efficient Broadband Metamaterial …

Photonic inverse design concerns the problem of finding photonic structures with target
optical properties. However, traditional methods based on optimization algorithms are time …

We report a broadband metasurface solar absorber composed of refractory material
chromium (Cr) for the intermediate structure of a solar thermophotovoltaic (STPV) system …

Metasurfaces consisting of subwavelength structures, so‐called meta‐atoms, have steadily
attracted considerable attention for advanced holography due to their advantages in terms of …

Chiral materials, which show different optical behaviors when illuminated by left or right
circularly polarized light due to broken mirror symmetry, have greatly impacted the field of …