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Dive into the research topics where Gianluca Coletti is active.

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Featured researches published by Gianluca Coletti.


Applied Physics Letters | 2002

Millisecond minority carrier lifetimes in n-type multicrystalline silicon

Andres Cuevas; Mark Kerr; Christian Samundsett; Francesca Ferrazza; Gianluca Coletti

Exceptionally high minority carrier lifetimes have been measured in n-type multicrystalline silicon (mc-Si) grown by directional solidification and subjected to phosphorus gettering. The highest effective lifetimes, up to 1.6 ms averaged over several grains and 2.8 ms within some of them, were measured for relatively lowly doped, 2–3 Ωcm, wafers. The lifetime was found to decrease for lower resistivities, still reaching 500 μs for 0.9 Ωcm and 100 μs for 0.36 Ωcm. Several important findings are reported here: (i) achievement of carrier lifetimes in the millisecond range for mc-Si, (ii) effectiveness of phosphorus gettering in n-type mc-Si, and (iii) demonstration of good stability under illumination for n-type mc-Si.


Journal of Applied Physics | 2008

Effect of iron in silicon feedstock on p- and n-type multicrystalline silicon solar cells

Gianluca Coletti; R. Kvande; V. D. Mihailetchi; L. J. Geerligs; Lars Arnberg; Eivind Øvrelid

The effect of iron contamination in multicrystalline silicon ingots for solar cells has been investigated. Intentionally contaminated p- and n-type multicrystalline silicon ingots were grown by adding 53 ppm by weight of iron in the silicon feedstock. They are compared to reference ingots produced from nonintentionally contaminated silicon feedstock. p-type and n-type solar cell processes were applied to wafers sliced from these ingots. The as-grown minority carrier lifetime in the iron doped ingots is about 1–2 and 6–20 μs for p and n types, respectively. After phosphorus diffusion and hydrogenation this lifetime is improved up to 50 times in the p-type ingot, and about five times in the n-type ingot. After boron/phosphorus codiffusion and hydrogenation the improvement is about ten times for the p-type ingot and about four times for the n-type ingot. The as-grown interstitial iron concentration in the p-type iron doped ingot is on the order of 1013 cm−3, representing about 10% of the total iron concentra...


Journal of Applied Physics | 2009

Diode breakdown related to recombination active defects in block-cast multicrystalline silicon solar cells

Wolfram Kwapil; Martin Kasemann; Paul Gundel; Martin C. Schubert; Wilhelm Warta; Paula C.P. Bronsveld; Gianluca Coletti

Solar cells in modules are reverse biased when they are shaded. This can lead to diode breakdown and eventually to the occurrence of hot spots, which may, in the extreme case, destroy the module by thermal degradation. We observed at least three different types of diode breakdown in multicrystalline silicon solar cells. One of them is found to be related to the recombination activity of defects. This type is indicated by a slow increase in the reverse current with reverse bias and a relatively low breakdown voltage around −10 V. The local breakdown voltage depends significantly on the level of contamination of the material. When the solar cell is reverse biased, the breakdown sites emit bright light which shows a broad spectral distribution in the visible range with a maximum at 700 nm.


Journal of Applied Physics | 2013

Precipitated iron: A limit on gettering efficacy in multicrystalline silicon

David P. Fenning; Jasmin Hofstetter; Mariana I. Bertoni; Gianluca Coletti; Barry Lai; C. del Cañizo; Tonio Buonassisi

A phosphorus diffusion gettering model is used to examine the efficacy of a standard gettering process on interstitial and precipitated iron in multicrystalline silicon. The model predicts a large concentration of precipitated iron remaining after standard gettering for most as-grown iron distributions. Although changes in the precipitated iron distribution are predicted to be small, the simulated post-processing interstitial iron concentration is predicted to depend strongly on the as-grown distribution of precipitates, indicating that precipitates must be considered as internal sources of contamination during processing. To inform and validate the model, the iron distributions before and after a standard phosphorus diffusion step are studied in samples from the bottom, middle, and top of an intentionally Fe-contaminated laboratory ingot. A census of iron-silicide precipitates taken by synchrotron-based X-ray fluorescence microscopy confirms the presence of a high density of iron-silicide precipitates both before and after phosphorus diffusion. A comparable precipitated iron distribution was measured in a sister wafer after hydrogenation during a firing step. The similar distributions of precipitated iron seen after each step in the solar cell process confirm that the effect of standard gettering on precipitated iron is strongly limited as predicted by simulation. Good agreement between the experimental and simulated data supports the hypothesis that gettering kinetics is governed by not only the total iron concentration but also by the distribution of precipitated iron. Finally, future directions based on the modeling are suggested for the improvement of effective minority carrier lifetime in multicrystalline silicon solar cells.


Journal of Applied Physics | 2008

Distribution of iron in multicrystalline silicon ingots

R. Kvande; Lambert Johan Geerligs; Gianluca Coletti; Lars Arnberg; M. Di Sabatino; Eivind Øvrelid; C. C. Swanson

The distribution of iron in multicrystalline silicon ingots for solar cells has been studied. A p- and a n-type multicrystalline ingot were intentionally contaminated by adding 53ppmwt (μg∕g) of iron to the silicon feedstock and compared to a reference p-type ingot produced from ultrapure silicon feedstock. The vertical total iron distribution was determined by neutron activation analysis and glow discharge mass spectrometry. For the intentionally Fe-contaminated ingots, the distribution can be described by Scheil’s equation with an effective distribution coefficient of 2×10−5. The interstitial iron concentration was measured in the p-type ingots. In the Fe-contaminated ingot, it is almost constant throughout the ingot and constitutes about 50% of the total concentration, which is in conflict with the previous studies. Gettering had a large impact on the interstitial iron levels by reducing the concentration by two orders of magnitude. Considerable trapping was observed at crystal defects on as-cut wafers...


Applied Physics Letters | 2015

Synchrotron-based analysis of chromium distributions in multicrystalline silicon for solar cells

Mallory A. Jensen; Jasmin Hofstetter; Ashley E. Morishige; Gianluca Coletti; Barry Lai; David P. Fenning; Tonio Buonassisi

Chromium (Cr) can degrade silicon wafer-based solar cell efficiencies at concentrations as low as 1010 cm−3. In this contribution, we employ synchrotron-based X-ray fluorescence microscopy to study chromium distributions in multicrystalline silicon in as-grown material and after phosphorous diffusion. We complement quantified precipitate size and spatial distribution with interstitial Cr concentration and minority carrier lifetime measurements to provide insight into chromium gettering kinetics and offer suggestions for minimizing the device impacts of chromium. We observe that Cr-rich precipitates in as-grown material are generally smaller than iron-rich precipitates and that Cri point defects account for only one-half of the total Cr in the as-grown material. This observation is consistent with previous hypotheses that Cr transport and CrSi2 growth are more strongly diffusion-limited during ingot cooling. We apply two phosphorous diffusion gettering profiles that both increase minority carrier lifetime ...


Applied Physics Letters | 2017

Recombination parameters of lifetime-limiting carrier-induced defects in multicrystalline silicon for solar cells

Carlos Vargas; Yan Zhu; Gianluca Coletti; Catherine Chan; David Payne; Mallory A. Jensen; Ziv Hameiri

In p-type multicrystalline silicon solar cells, carrier-induced degradation (CID) can cause up to 10% relative reduction in conversion efficiency. Although, a great concern has been drawn on this degradation in the photovoltaic community, the nature of this degradation is still yet unknown. In this contribution, the recombination parameters of the responsible defect causing this degradation are extracted via temperature and injection dependent lifetime spectroscopy. Three wafers from three different ingots were processed into cell precursor and lifetime structures for the study. Similar defect recombination parameters were obtained for all samples. Two candidates for the defect energy level were identified: Et − Ei = −(0.32 ± 0.05) eV or Et − Ei = (0.21 ± 0.05) eV in the lower and upper bandgap halves, respectively. The capture cross section ratios were found to be k = 56 ± 23 or k = 49 ± 21 for the lower and upper bandgap halves, respectively. Contrary to previous studies, these parameters have been extr...


photovoltaic specialists conference | 2008

High efficiency industrial screen printed n-type solar cells with front boron emitter

V.D. Mihailetchi; Y. Komatsu; Gianluca Coletti; R. Kvande; Lars Arnberg; C. Knopf; K. Wambach; Lambert Johan Geerligs

There is currently much interest in n-type base cells because of potential advantages, both of silicon base material and of cell process, for high efficiency. We present results of n-base solar cells on large area multicrystalline and monocrystalline silicon wafers, produced using simultaneous diffusion of phosphorus back surface field and boron emitter, screen-printed metallization and firing through. The cell process leads to record high efficiencies of 16.4% on mc-Si and 18.3% on monocrystalline wafers. We also consider material-related cell characteristics. It is experimentally demonstrated that in mc-Si a low resistivity is correlated to reduced cell efficiency, with the optimum base resistivity lying between 1.5 and 4 Ohm-cm. By characterising and modeling cells from monocrystalline Si, from nominally clean mc-Si, as well as from intentionally Fe-contaminated mc-Si, the impact of the mc-Si wafer purity on emitter properties is investigated in more detail.


Solid State Phenomena | 2007

Impact of Iron and Molybdenum in Mono and Multicrystalline Float-Zone Silicon Solar Cells

Gianluca Coletti; Lambert Johan Geerligs; P. Manshanden; C. Swanson; Stephan Riepe; Wilhelm Warta; J. Arumughan; R. Kopecek

This paper investigates the impact of iron (Fe) and molybdenum (Mo) when they are introduced in the feedstock for mono- and multicrystalline Float-Zone (FZ) silicon (Si) growth. Neutron Activation Analysis shows that the segregation coefficient is in agreement with literature values. Lifetime maps on monocrystalline wafers show a uniform lifetime which decreases with the increase of contamination levels. Multicrystalline wafers show low lifetime areas, corresponding to grain boundaries and highly dislocated areas, which are independent from the contamination levels. Intra grain areas have a higher lifetime which changes with the contamination levels. The solar cells show a reduced diffusion length in multicrystalline uncontaminated cells compare to the monocrystalline uncontaminated. In multicrystalline cells the lowest level of Fe introduced (1012 atm/cm3) has hardly any influence, whereas in the Mo-contaminated cells the impact is visible from the lowest level (1011 atm/cm3). In monocrystalline cells the diffusion length is reduced already at the lowest contamination level of Fe.


Journal of Applied Physics | 2010

Temperature dependent carrier lifetime studies of Mo in crystalline silicon

Bijaya Paudyal; Keith R. McIntosh; Daniel Macdonald; Gianluca Coletti

D.M. likes to thank the Australian Research Council for fellowship and G.C. likes to thank “CrystalClear Integrated Project” Contract No. SES6-CT_2003-502583 funded by the European Commission.

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Daniel Macdonald

Australian National University

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Lambert Johan Geerligs

Energy Research Centre of the Netherlands

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Giso Hahn

University of Konstanz

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Ziv Hameiri

University of New South Wales

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Barry Lai

Argonne National Laboratory

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Tonio Buonassisi

Massachusetts Institute of Technology

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