64 research outputs found
Efficient Planar Perovskite Solar Cells Based on 1.8 eV Band Gap CH<sub>3</sub>NH<sub>3</sub>PbI<sub>2</sub>Br Nanosheets via Thermal Decomposition
Hybrid
organometallic halide perovskite CH<sub>3</sub>NH<sub>3</sub>PbI<sub>2</sub>Br (or MAPbI<sub>2</sub>Br) nanosheets with a 1.8
eV band gap were prepared via a thermal decomposition process from
a precursor containing PbI<sub>2</sub>, MABr, and MACl. The planar
solar cell based on the compact layer of MAPbI<sub>2</sub>Br nanosheets
exhibited 10% efficiency and a single-wavelength conversion efficiency
of up to 86%. The crystal phase, optical absorption, film morphology,
and thermogravimetric analysis studies indicate that the thermal decomposition
process strongly depends on the composition of precursors. We find
that MACl functions as a glue or soft template to control the initial
formation of a solid solution with the main MAPbI<sub>2</sub>Br precursor
components (i.e., PbI<sub>2</sub> and MABr). The subsequent thermal
decomposition process controls the morphology/surface coverage of
perovskite films on the planar substrate and strongly affects the
device characteristics
Charge Transport and Recombination in Perovskite (CH<sub>3</sub>NH<sub>3</sub>)PbI<sub>3</sub> Sensitized TiO<sub>2</sub> Solar Cells
We report on the effect of TiO<sub>2</sub> film thickness on the
charge transport, recombination, and device characteristics of perovskite
(CH<sub>3</sub>NH<sub>3</sub>)ĀPbI<sub>3</sub> sensitized solar cells
using iodide-based electrolytes. (CH<sub>3</sub>NH<sub>3</sub>)ĀPbI<sub>3</sub> is relatively stable in a nonpolar solvent (e.g., ethyl acetate)
with a low iodide concentration (e.g., 80 mM). Frequency-resolved
modulated photocurrent/photovoltage spectroscopies show that increasing
TiO<sub>2</sub> film thickness from 1.8 to 8.3 Ī¼m has little
effect on transport but increases recombination by more than 10-fold,
reducing the electron diffusion length from 16.9 to 5.5 Ī¼m,
which can be explained by the higher degree of iodide depletion within
the TiO<sub>2</sub> pores for thicker films. The changes of the charge-collection
and light-absorption properties of (CH<sub>3</sub>NH<sub>3</sub>)ĀPbI<sub>3</sub> sensitized cells with varying TiO<sub>2</sub> film thickness
strongly affect the photocurrent density, photovoltage, fill factor,
and solar conversion efficiency. Developing alternative, compatible
redox electrolytes is important for (CH<sub>3</sub>NH<sub>3</sub>)ĀPbI<sub>3</sub> or similar perovskites to be used for potential photoelectrochemical
applications
CH<sub>3</sub>NH<sub>3</sub>Cl-Assisted One-Step Solution Growth of CH<sub>3</sub>NH<sub>3</sub>PbI<sub>3</sub>: Structure, Charge-Carrier Dynamics, and Photovoltaic Properties of Perovskite Solar Cells
We
demonstrate a novel one-step solution approach to prepare perovskite
CH<sub>3</sub>NH<sub>3</sub>PbI<sub>3</sub> films by adding CH<sub>3</sub>NH<sub>3</sub>Cl (or MACl) to the standard CH<sub>3</sub>NH<sub>3</sub>PbI<sub>3</sub> precursor (equimolar mixture of CH<sub>3</sub>NH<sub>3</sub>I and PbI<sub>2</sub>) solution. The use of MACl strongly
affects the crystallization process of forming pure CH<sub>3</sub>NH<sub>3</sub>PbI<sub>3</sub>, leading not only to enhanced absorption
of CH<sub>3</sub>NH<sub>3</sub>PbI<sub>3</sub> but also to significantly
improved coverage of CH<sub>3</sub>NH<sub>3</sub>PbI<sub>3</sub> on
a planar substrate. Compared to the standard one-step solution approach
for CH<sub>3</sub>NH<sub>3</sub>PbI<sub>3</sub>, using MACl improves
the performance of CH<sub>3</sub>NH<sub>3</sub>PbI<sub>3</sub> solar
cells from about 2% to 12% for the planar cell structure and from
about 8% to 10% for the mesostructured device architecture. Although
we find no significant effect of using MACl on charge transport and
recombination in mesostructured perovskite cells, the recombination
resistance for planar cells increases by 1ā2 orders of magnitude
by using MACl. These results suggest that this new one-step solution
approach is promising for controlling CH<sub>3</sub>NH<sub>3</sub>PbI<sub>3</sub> growth to achieve high-performance perovskite solar
cells
Appendix B. Additional statistical results, including models using alternative metrics for biotic velocity, models without phylogenetic error structure, and models including dually colonized species.
Additional statistical results, including models using alternative metrics for biotic velocity, models without phylogenetic error structure, and models including dually colonized species
Solid-State Mesostructured Perovskite CH<sub>3</sub>NH<sub>3</sub>PbI<sub>3</sub> Solar Cells: Charge Transport, Recombination, and Diffusion Length
We
report on the effect of TiO<sub>2</sub> film thickness on charge
transport and recombination in solid-state mesostructured perovskite
CH<sub>3</sub>NH<sub>3</sub>PbI<sub>3</sub> (via one-step coating)
solar cells using spiro-MeOTAD as the hole conductor. Intensity-modulated
photocurrent/photovoltage spectroscopies show that the transport and
recombination properties of solid-state mesostructured perovskite
solar cells are similar to those of solid-state dye-sensitized solar
cells. Charge transport in perovskite cells is dominated by electron
conduction within the mesoporous TiO<sub>2</sub> network rather than
from the perovskite layer. Although no significant film-thickness
dependence is found for transport and recombination, the efficiency
of perovskite cells increases with TiO<sub>2</sub> film thickness
from 240 nm to about 650ā850 nm owing primarily to the enhanced
light harvesting. Further increasing film thickness reduces cell efficiency
associated with decreased fill factor or photocurrent density. The
electron diffusion length in mesostructured perovskite cells is longer
than 1 Ī¼m for over four orders of magnitude of light intensity
Appendix A. Exampe figure detailing the calculation of climate tracking metrics for the contemporary data set using forest inventory and analysis data.
Exampe figure detailing the calculation of climate tracking metrics for the contemporary data set using forest inventory and analysis data
Supplement 1. Latitudinal difference distributions, associated rates of temperature change, and trait values for each species in the contemporary data set.
<h2>File List</h2><div>
<p><a href="LDD_for_Northern_Edge.csv">LDD_for_Northern_Edge.csv</a> (MD5: 8963d2b01800440c827e56c38d3d80d4)</p>
<p><a href="LDD_for_Southern_Edge.csv">LDD_for_Southern_Edge.csv</a> (MD5: c6cf2c82cb42d15b106f12a58ebdd501)</p>
</div><h2>Description</h2><div>
<p>The LDD_for_Northern_Edge.csv and LDD_for_Southern_Edge.csv files are comma delimited files. They contain species level data on latitudinal difference distributions at the northern and southern range edges, respectively, along with associated climate velocities.</p>
<p>Columns</p>
<p>1. FIA species code = USFS numerical code for each tree species </p>
<p>2. Common name = species common name, following USFS conventions</p>
<p>3. Species = latin binomial for each tree species</p>
<p>4. Family = Botanical family of each tree species</p>
<p>5. Mycorrhizal Guild = type of mycorrhizal association (AM = arbuscular mycorrhizal, EM = ectomycorrhizal, Dual = dually colonized by both AM and EM fungi)</p>
<p>6. Shade Tolerance = numerical rank denoting qualitative shade tolerance scores (1 = Very intolerant, 2 = Intolerant, 3 = Intermediate, 4 = Tolerance, 5 = Very Tolerant)</p>
<p>7. ln(Seed Size) = Species mean seed mass, natural log transformed</p>
<p>8. Climate Velocity = rate of temperature change at the northern (or southern) range boundary over the last century</p>
<p>9. LDD = Species mean Latitudinal difference distribution using the methods described in main text (based on median latitude of observations within 1Ā° latitude of most extreme tree observation).</p>
<p>10. LDD 95% CI = 95% confidence intervals of species mean LDD across longitudinal bands</p>
<p>11. LDD (using minimum observation) = Species mean Latitudinal difference distribution using only the most extreme observations of trees and seedlings</p>
<p>12. LDD 95% CI = 95% confidence intervals of species mean LDD using minimum observations across longitudinal bands</p>
<p>13. LDD (using minimal 5% of observations) = Species mean Latitudinal difference distribution using the observations at the 5% (southern edge) or 95% (northern edge) of observations.</p>
<p>14. LDD 95% CI = 95% confidence intervals of species mean LDD using 5 percentile observations across longitudinal bands</p>
<p>15. BV-CV = biotic velocity minus climate velocity, calculated by subtracting column 8 from column 9.</p>
<p>16. BV-CV (using minimal observation) = biotic velocity minus climate velocity, calculated by subtracting column 8 from column 10.</p>
<p>17. BV-CV (using minimal 5% of observations) = biotic velocity minus climate velocity, calculated by subtracting column 8 from column 11.</p>
</div
Controllable Sequential Deposition of Planar CH<sub>3</sub>NH<sub>3</sub>PbI<sub>3</sub> Perovskite Films via Adjustable Volume Expansion
We demonstrate a facile morphology-controllable
sequential deposition of planar CH<sub>3</sub>NH<sub>3</sub>PbI<sub>3</sub> (MAPbI<sub>3</sub>) film by using a novel volume-expansion-adjustable
PbI<sub>2</sub>Ā·<i>x</i>MAI (<i>x</i>: 0.1ā0.3)
precursor film to replace pure PbI<sub>2</sub>. The use of additive
MAI during the first step of deposition leads to the reduced crystallinity
of PbI<sub>2</sub> and the pre-expansion of PbI<sub>2</sub> into PbI<sub>2</sub>Ā·<i>x</i>MAI with adjustable morphology, which
result in about 10-fold faster formation of planar MAPbI<sub>3</sub> film (without PbI<sub>2</sub> residue) and thus minimize the negative
impact of the solvent isopropanol on perovskites during the MAI intercalation/conversion
step. The best efficiency obtained for a planar perovskite solar cell
based on PbI<sub>2</sub>Ā·0.15MAI is 17.22% (under one sun illumination),
which is consistent with the stabilized maximum power output at an
efficiency of 16.9%
Appendix A. Data used in calculating the reported results for 48 species of trees and treelets at Cocha Cashu Biological Station in Peru.
Data used in calculating the reported results for 48 species of trees and treelets at Cocha Cashu Biological Station in Peru
Appendix A. Detailed description of the model, prior distributions, diagnostics, and inverse prediction.
Detailed description of the model, prior distributions, diagnostics, and inverse prediction
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