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Photo of Guo, Jinglong

Jinglong Guo

Graduate Student

Physics Department


Building & Room:

SES 2372

Office Phone:

(312) 996-5048


Jinglong joined nano-science physics group (NSPG) in 2016. His research interest is on developing a fundamental understanding of the role of grain boundaries in CdTe on the carrier life-time, open-circuit voltage, Voc, and the diffusion of impurities using TEM/STEM, EELS/EDS spectroscopy and other characterizations.

Research Currently in Progress

CdTe is one of the most promising photovoltaic materials due to its near optimum band gap and a high  absorption  coefficient.  However,  the  efficiencies  of both champion  poly-crystalline  CdTe photovoltaic cells as well as production line modules are still significantly below the theoretical Shockley-Queisser limit of ~30%. In recent years, it has become increasingly clear that minority carrier life-time and doping activation impose a fundamental limit to improving the efficiency of poly-CdTe solar-cell devices. Reduction of non-radiative recombination at grain boundaries is the key to improving the  efficiency of polycrystalline CdTe-based solar cells. Atomistic-level characterization,   including scanning  transmission electron microscopy(STEM) and first principles density functional theory (DFT) modeling, is crucial in developing a fundamental understanding of how grain boundaries affect the solar cells’ efficiency.


In our project, we examine grain boundaries in poly-crystalline CdTe solar-cell samples and compare the interfacial atomic and electronic structures with model-system CdTe grain boundaries using ultra-high vacuum bonded bicrystals. Atomic-resolution characterization is carried out in the JEOL ARM200CF aberration-corrected scanning transmission electron microscope(STEM) using high-angle annular dark field (HAADF) and annular bright field (ABF) imaging. Electronic defect structures are studied using first-principles density functional  theory  (DFT) calculations.  These  calculations  were  performed  on structural models based on atomic-resolution STEM images. With the DFT prediction, we found several dopants can passivate defects states in grain boundaries to increase the efficiency of CdTe solar cells.