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Ajeet Rohatgi

Researcher at Georgia Institute of Technology

Publications -  513
Citations -  11785

Ajeet Rohatgi is an academic researcher from Georgia Institute of Technology. The author has contributed to research in topics: Silicon & Passivation. The author has an hindex of 51, co-authored 500 publications receiving 11218 citations. Previous affiliations of Ajeet Rohatgi include Carnegie Mellon University & Westinghouse Electric.

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Journal ArticleDOI

Bulk lifetime and efficiency enhancement due to gettering and hydrogenation of defects during cast multicrystalline silicon solar cell fabrication

TL;DR: In this article, the authors conducted a process-induced lifetime investigation of cast multicrystalline silicon ingots and found that wafers from the top region of MC-Si ingot grown by Heat Exchanger Method (HEM) benefited most from the gettering step during phosphorus diffusion to form the n + junction.
Proceedings ArticleDOI

Recloser Allocation for Improved Reliability of DG-Enhanced Distribution Networks

TL;DR: In this article, a procedure for finding optimal positions for DG and protection devices is presented for a feeder equipped with capacity-constrained distributed generators, using a custom-tailored genetic algorithm, and the improvement in reliability is demonstrated on a test feeder.

High voltage solar cell array as an electrostatic MEMS power supply

TL;DR: In this paper, a high voltage hydrogenated amorphous silicon (a-Si:H) solar cell array optimized as a power source for electrostatic microelectromechanical systems (MEMS) is presented.
Proceedings ArticleDOI

Effective interfaces in silicon heterojunction solar cells

TL;DR: In this article, thin hydrogenated amorphous silicon (a-Si:H) layers deposited by hot-wire chemical vapor deposition (HWCVD) are investigated for use in silicon heterojunction (SHJ) solar cells on p-type crystalline silicon wafers.
Proceedings ArticleDOI

Texture: a ray tracing program for the photovoltaic community

TL;DR: Texture as mentioned in this paper is a Monte Carlo ray-tracing program which is capable of addressing the problem of photon loss in textured solar cells, and it has been shown that tetrahedrons are more effective light-trapping structures than tilted pyramids (40.87 mA compared to 40.37 mA).