The Top-Hat hot electron light emission and lasing in semiconductor heterostructure (HELLISH)-vertical cavity semiconductor optical amplifier (VCSOA) is a modified version of a HELLISH-VCSOA device. It has a shorter p-channel and longer n-channel. The device studied in this work consists of a simple GaAs p-i-n junction, containing 11 Ga0.35In0.65 N0.02As0.08/GaAs multiple quantum wells in its i...

LP-CVD ZnO has been developed at IMT as front TCO for a-Si:H p-i-n single-junction and “micromorph” (microcrystalline/amorphous silicon) tandem solar cells. An amorphous silicon single-junction p-i-n cell (~1 cm) with a stabilized efficiency of 9.47 % has independently been confirmed by NREL. Applying the monolithic series connection by laser-scribing, both for amorphous single-junction and mic...

A 980 nm bottom-emitting vertical-cavity surface-emitting laser (VCSEL) with a p-contact diameter is reported to achieve high power and good beam quality. A numerical simulation is conducted on the current spreading in a VCSEL with oxidation between the active region and the p-type distributed Bragg reflector. It is found that, for a particular oxide aperture diameter, somewhat homogeneous curr...

Abstract Some rotating components have the structural characteristics of variable thickness and curvature. The conventional ultrasonic testing is inappropriate for these because bad coupling too many uncertainties. In order to meet requirements high-volume, high-efficiency high-precision, corresponding automatic detection program proposed. A 6-DOF industrial robot used realize precise control t...

Grantmaking traditionally has been at the heart of philanthropy, whereas impact was exclusive expectation any desired result. While there is still a place for this kind pure push change, many investors today expect more, leveraging power markets to invest in way that both impactful and able maximize their financial rewards. This particularly true foundations with an eye toward supporting perpet...

Neural network representation learning for spatial data (e.g., points, polylines, polygons, and networks) is a common need geographic artificial intelligence (GeoAI) problems. In recent years, many advancements have been made in networks, whereas little progress has especially complex polygonal geometries. this work, we focus on developing general-purpose polygon encoding model, which can encod...

A relatively fast and simple method utilizing Gaussian beams (GBs) is developed which requires only a few seconds on a workstation to compute the near/far fields of electrically large reflector antennas when they are illuminated by a feed with a known radiation pattern. This GB technique is fast, because it completely avoids any numerical integration on the large reflector surface which is requ...