Composition-Dependent Thermoelectric Properties of Hybrid Tin Perovskites (CH3NH3)xCs1-xSnI3: Insights into Electrical and Thermal Performance

Aleksandra Khanina; Alexandra Ivanova; Danila Saranin; Irina Shamova; Lev Luchnikov; Margarita Golikova; Olga Kutsemako; Olga Volkova; Pavel Gorbachev; Pavel Gostishchev

REVIEW 2 major objections 4 minor 34 references

Composition-Dependent Thermoelectric Properties of Hybrid Tin Perovskites (CH3NH3)xCs1-xSnI3: Insights into Electrical and Thermal Performance

T0 review · 2 major / 4 minor · reviewed 2026-08-15 · deepseek-v4-flash

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Pith's one-line read In bulk MAxCs1−xSnI3 perovskites, pure MASnI3 reaches zT = 0.10 at 423 K, the highest thermoelectric efficiency measured in the series.

desk verdict The systematic dataset is real, but the paper's headline zT=0.10 for MASnI3 is arithmetically inconsistent with its own reported power factor and thermal conductivity; the claim needs reconciliation before this is publishable. read the letter →

arxiv 2505.09013 v1 pith:EJTNR25D submitted 2025-05-13 cond-mat.mtrl-sci

Alexandra Ivanova , Olga Kutsemako , Aleksandra Khanina , Pavel Gorbachev , Margarita Golikova , Irina Shamova , Olga Volkova , Lev Luchnikov

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Pavel Gostishchev Danila Saranin Vladimir Khovaylo

This is my paper · ORCID

classification cond-mat.mtrl-sci

keywords tinhalideperovskitesthermoelectricfigureofmeritSeebeckcoefficientmixed-cationthermalconductivitymethylammoniumcesiumiodidebulkperovskitethermoelectricsstability

verification ladder T0 review T1 audit T2 compute T3 formal

The pith

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The reading

This paper shows that the thermoelectric performance of bulk halide perovskites MAxCs1−xSnI3 can be tuned by mixing methylammonium (MA) and cesium cations. In the mixed series, compositions with x = 0.2 and x = 0.5 strike the best balance between electrical conductivity and Seebeck coefficient, producing power factors of 0.6–0.7 µW cm−1 K−2 at 423 K and a zT of 0.06 for x = 0.5. The paper's central result is that pure MASnI3 outperforms all mixed compositions, reaching zT = 0.10 at 423 K because its Seebeck coefficient rises sharply with temperature even though its conductivity and thermal conductivity are only moderate. These results position bulk tin perovskites as viable thermoelectric materials in the near-room-temperature range and identify composition and microstructure as the main control knobs.

What carries the argument

The central quantity is the dimensionless thermoelectric figure of merit $zT = \alpha^2 \sigma T / \kappa$, where $\alpha$ is the Seebeck coefficient, $\sigma$ the electrical conductivity, $T$ the absolute temperature, and $\kappa$ the total thermal conductivity. The argument is carried by measured temperature-dependent $\alpha$ and $\sigma$ together with thermal conductivity computed from laser-flash diffusivity, density, and heat capacity, where the heat capacity of mixed compositions is taken as a linear interpolation between a Debye-model value for CsSnI3 and measured heat-capacity data for MASnI3. The decisive mechanism in the paper is the steep rise of the Seebeck coefficient in MASnI3 above room temperature (to 175 µV/K at 423 K), which compensates for its moderate conductivity and thermal conductivity.

What would settle it

Measure the heat capacity of at least one intermediate composition (for example x = 0.5) by direct calorimetry between 280 K and 423 K and compare it with the linear interpolation of CsSnI3 and MASnI3; if the deviation exceeds the stated 16% combined uncertainty, the reported κ and zT for the mixed samples need revision. A second check would be to reproduce the MASnI3 Seebeck curve on an independently synthesized batch to confirm the sharp rise to 175 µV/K at 423 K is intrinsic and not an artifact of degradation.

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Extended reading notes

Core claim

The paper reports the first systematic thermoelectric characterization of bulk MAxCs1−xSnI3 across x = 0 to 1. It finds a continuous orthorhombic solid solution, with lattice expansion as larger MA+ replaces Cs+. Transport measurements show an inverse relationship between electrical conductivity and Seebeck coefficient: x = 0 and x = 0.6 have the highest conductivity (93 and 80 Ω−1 cm−1 at 300 K) but the lowest Seebeck values, while x = 0.8 has the lowest conductivity and the highest Seebeck among mixed samples (64 µV/K). The compositions x = 0.2 and x = 0.5 combine moderate conductivity with higher Seebeck coefficients, giving the best power factors. MASnI3 is the standout: its Seebeck coefficient increases from 51 µV/K at 300 K to 175 µV/K at 423 K, which overcomes its low power factor at lower temperatures and yields the maximum zT of 0.10 at 423 K, among the highest reported for pristine perovskites. The paper attributes the low thermal conductivity (0.50–0.70 W m−1 K−1) to porosity, grain boundaries, and dynamic disorder of the organic cations.

Load-bearing premise

The load-bearing premise is that the heat capacity of every mixed composition follows a simple linear average of the two end members, with no phase-transition or interaction corrections; because thermal conductivity is calculated from heat capacity, any deviation shifts κ and therefore zT for all x between 0 and 1.

Editorial extensions

If this is right

MASnI3 can be considered a candidate for low-temperature waste-heat harvesting, with best performance near 423 K rather than at room temperature.
Compositions near x = 0.5 offer the best compromise for power output, since they maximize the power factor while keeping thermal conductivity low.
Control of porosity and grain-boundary density is a direct lever on thermal conductivity: samples with disordered or porous microstructures scatter phonons more effectively.
Ambient degradation of ball-milled samples is fast, and MA-rich compositions convert directly to a double-perovskite phase, so practical devices would require encapsulation or denser processing routes.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

If the linear heat-capacity interpolation is inaccurate, the thermal conductivity and zT for intermediate x values could shift enough to reorder the ranking; measuring Cp directly for x = 0.2 and x = 0.5 would settle this.
The sharp Seebeck rise in MASnI3 may reflect an electronic or structural transition; if so, the zT peak near 423 K could be moved or sharpened by strain or by tuning the MA/Cs ratio near that transition.
The correlation between porosity and low thermal conductivity suggests that deliberately introducing controlled mesoscale porosity could push zT higher, though at the cost of electrical conductivity.

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Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, and a circularity audit.

Desk Editor's Note

read the letter

Two things to know. First, this is a genuinely new dataset: bulk electrical and thermal transport across the full MAxCs1−xSnI3 series, including what looks like the first bulk thermal conductivity for MASnI3. The electrical results for the end members are within the scatter of prior work, and the composition trends are plausible. Second, the headline result, zT=0.10 for MASnI3 at 423 K, does not survive arithmetic. The paper reports its power factor at that temperature as 0.1 µW cm−1 K−2 and its total thermal conductivity as about 0.63 W m−1 K−1. Those give zT ≈ 0.007. To get 0.10 at that κ you need PF ≈ 1.5 µW cm−1 K−2. The text specifically says the MASnI3 power factor is 'significantly lower' than the 0.6–0.7 values for x=0.2 and x=0.5, so this is not a one-digit typo in isolation—one of the three measured quantities is off by an order of magnitude. That has to be fixed before any composition ranking can be taken seriously.

The heat-capacity interpolation for mixed compositions is a softer but real issue. The authors use a Debye-model Cp for CsSnI3 and a linear interpolation, and they flag the 16% combined uncertainty. Given that the mixed-phase κ and zT all build on that assumption, the intermediate compositions should be treated as estimates until measured Cp is available. The 275 K phase transition in MASnI3 (Fig. S4a) is a reminder that these materials are not ideal solid solutions.

Minor points: the zT formula in the introduction has a sign error (κlat - κel should be κlat + κel). The figures lack error bars, which makes it hard to see whether the differences between x=0.5 and x=0.6 are real. The claim of 'first bulk MASnI3 thermal conductivity' needs a careful literature check; the paper cites one comparison to CsSnI3 in a figure that appears mis-numbered ('Fig. 5b').

Who gets value from this? The composition-dependent transport data are a useful addition to a thin-film-dominated field. The degradation observations are a side benefit. But as submitted, the central zT claim is not credible. I'd send it to peer review—the measurements look real and the flaw is fixable—but I'd insist the authors reconcile the numbers. If the PF text is a typo and the true value is closer to 1.5 µW cm−1 K−2, the conclusion actually holds; if the zT is wrong, the paper's main claim collapses. Either way, the dataset deserves a proper vetting, not a desk reject.

Referee Report

2 major / 4 minor

Summary. The manuscript reports a composition-dependent study of thermoelectric transport in bulk MAxCs1−xSnI3 (x = 0, 0.2, 0.4, 0.5, 0.6, 0.8, 1) prepared by ball milling followed by pressureless sintering. It provides XRD, SEM/EDX, electrical conductivity, Seebeck coefficient, thermal diffusivity, and derived thermal conductivity and zT data. The central claims are that intermediate compositions x = 0.2 and x = 0.5 exhibit an optimal electrical power factor (0.6–0.7 µW cm−1 K−2 at 423 K) and zT up to 0.06, while pure MASnI3 achieves the highest zT of 0.10 at 423 K due to a rapidly increasing Seebeck coefficient. The paper also reports degradation behavior and microstructural characterization of the series.

Significance. If the reported results are correct, the paper would provide a useful systematic dataset for a relatively underexplored bulk form of tin-halide hybrid perovskites, including the first reported thermal conductivity for bulk MASnI3. The composition series is relevant to the ongoing search for lead-free thermoelectric perovskites, and the end-member electrical data appear broadly consistent with prior literature. However, the headline zT claim for MASnI3 is internally inconsistent with the simultaneously reported power factor and thermal conductivity by about an order of magnitude, and the thermal conductivity of every mixed composition depends on an unvalidated ideal-mixing interpolation of heat capacity. As written, these issues prevent the paper from supporting its central conclusions.

major comments (2)

[Results and discussion (zT paragraph; also abstract and conclusions)] The claimed maximum zT of 0.10 at 423 K for MASnI3 is arithmetically inconsistent with the stated power factor and thermal conductivity. The text reports a power factor of 0.1 µW cm−1 K−2 for MASnI3 and Fig. 3a places its total thermal conductivity near 0.63 W m−1 K−1. Using zT = α²σT/κ_tot = PF·T/κ gives zT ≈ (1×10⁻⁵ W m⁻¹ K⁻² × 423 K) / (0.63 W m⁻¹ K⁻¹) ≈ 7×10⁻³, not 0.10. Reaching zT = 0.10 would require PF ≈ 1.5 µW cm⁻¹ K⁻², a factor of 15 larger than the reported value and also larger than the 0.6–0.7 µW cm⁻¹ K⁻² values quoted for x = 0.2 and x = 0.5. At least one of the three reported quantities (PF, κ, or zT) is wrong by an order of magnitude. This is the paper's main result and must be reconciled before the central claim can be accepted.
[Materials and methods (Transport Property Measurements)] For all mixed compositions (0 < x < 1), the thermal conductivity is computed as κ = χCpd using a heat capacity Cp(x) obtained from a linear interpolation between a Debye-model Cp for CsSnI3 and a measured Cp for MASnI3, assuming ideal mixing. This interpolated Cp enters every κ and therefore every zT value for the mixed samples, so the composition-dependent performance claims rest on this assumption. The assumption is not validated: the measured MASnI3 heat capacity shows a phase-transition anomaly at 275 K (Fig. S4a), indicating non-ideal behavior in at least one end member, and no direct heat-capacity measurement for any intermediate composition is provided. The Debye temperature for CsSnI3 is also not stated, so the uncertainty of the model-derived Cp is not quantified. The authors should either measure Cp for at least one intermediate composition or provide a sensitivity/bounded-error analysis for κ and zT against deviations from the interpolation.

minor comments (4)

[Introduction (Eq. 1)] The definition zT = α²σT/(κlat − κel) is incorrect: lattice and electronic thermal conductivities add, not subtract, to give the total thermal conductivity. Please correct the denominator to κlat + κel, or clarify if another quantity is intended.
[Results and discussion (electrical conductivity paragraph)] The sentence reporting the highest electrical conductivity values cites Fig. 3a, but Fig. 3a shows total thermal conductivity; the electrical conductivity data appear in Fig. 2a. Please correct the figure reference.
[Materials and methods (Transport Property Measurements)] The transport measurements are stated to cover 280 to 420 K, but the results and abstract refer to values at 423 K. Please make the temperature range consistent.
[Abstract] The abstract states "0 < x < 1", but the study includes the end members x = 0 and x = 1; the notation should be 0 ≤ x ≤ 1.

Circularity Check

0 steps flagged · score 0.0 of 10

No significant circularity: the transport data are direct measurements and zT is computed from the standard formula, with the only modeling input being an explicitly stated Cp interpolation that is not fitted to the output.

full rationale

The derivation chain is measurement-based rather than self-referential. Electrical conductivity and Seebeck coefficient are directly measured by four-probe and differential methods over 280–420 K, and thermal conductivity is computed from measured diffusivity, a stated heat capacity choice, and Archimedes density via κ = χCpd; zT is then the standard α²σT/κ. The mixed-composition heat capacity is an explicit ideal-mixing interpolation, Cp(x) = (1 − x)·Cp(CsSnI3) + x·Cp(MASnI3), between a Debye-model end member and a measured end member. This is a stated modeling assumption, not a parameter fitted to the reported power factors or zT values, so it cannot make the output equivalent to its inputs by construction. The only self-citations (refs 17–19) appear in the degradation-kinetics comparison of VM+SPS and VM+PLS samples and do not enter the electrical or thermal transport derivation; they are contextual experimental comparisons, not load-bearing support for the central claim. The apparent arithmetic inconsistency between the quoted MASnI3 power factor of 0.1 µW cm−1K−2 and the reported zT of 0.10 is a numerical-consistency or correctness issue for the authors to reconcile, but it is not circularity: the zT value is not defined by, nor equivalent to, that power-factor quote. Overall, no circular step was identified in the paper's claimed derivation.

Assumptions & free parameters 1 free parameters · 5 assumptions · 0 invented entities

All transport claims rest on measured σ and α, but every thermal conductivity value for mixed compositions depends on the interpolated Cp, which in turn assumes ideal mixing and an unspecified Debye model for CsSnI3. The MASnI3 zT=0.10 uses measured Cp, but the composition comparison (0.04-0.06 for mixed samples) is sensitive to the interpolation. No new physical entities are introduced.

free parameters (1)

CsSnI3 Debye temperature for heat capacity model = not stated
The heat capacity of CsSnI3 used in the interpolation is calculated with the Debye model; the Debye temperature is not reported, so the values entering all mixed-composition κ and zT are not independently checkable.

assumptions (5)

ad hoc to paper Linear interpolation Cp(x) = (1-x)Cp(CsSnI3) + x Cp(MASnI3) accurately represents the heat capacity of all mixed compositions.
Stated in Methods; assumes ideal mixing with no phase transitions or strong cation interactions over 280-423 K. The MASnI3 heat capacity shows a phase-transition anomaly at 275 K (Fig. S4a), so the assumption is already violated near the measurement range for the end member.
domain assumption The Debye model gives a reliable Cp(CsSnI3) over 260-350 K.
Soft, anharmonic perovskite lattices can deviate from Debye behavior; the model parameters are not reported, so this input is unverified.
domain assumption XRD phase purity implies the transport properties are intrinsic to the single-phase MAxCs1-xSnI3 solid solution.
Lab XRD can miss amorphous or nanoscale secondary phases, and the samples are porous and degrade in air; measurements in helium may not fully prevent surface oxidation.
standard math The correct zT denominator is total thermal conductivity κtot, not κlat - κel.
The intro formula (κlat - κel) is physically wrong; the reported zT values presumably use κtot, but the text is internally inconsistent.
domain assumption The samples are stable and chemically unchanged across the 280-423 K measurement window.
MASnI3 is known to degrade; the measurement is under helium, but no post-measurement phase analysis is presented in the main text.

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Cite this review

Pith. "Pith review of Composition-Dependent Thermoelectric Properties of Hybrid Tin Perovskites (CH3NH3)xCs1-xSnI3: Insights into Electrical and Thermal Performance." pith.science (2026). https://pith.science/paper/EJTNR25D

@misc{pith2026250509013,
  author       = {Pith},
  title        = {Pith review of: Composition-Dependent Thermoelectric Properties of Hybrid Tin Perovskites (CH3NH3)xCs1-xSnI3: Insights into Electrical and Thermal Performance},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/EJTNR25D}},
  note         = {Machine review of arXiv:2505.09013}
}

abstract

This work presents a comprehensive investigation of the thermoelectric properties of bulk hybrid perovskites with the general formula MAxCs1-xSnI3 (0 < x < 1). A series of bulk samples were synthesized and systematically characterized to explore the relationship between composition, microstructure, and thermoelectric performance. Compositions with intermediate MA+ content (x = 0.2 and x = 0.5) show an optimal balance between electrical conductivity and Seebeck coefficient, yielding high power factor values (0.6 - 0.7 muW/cmK2 at 423 K) and favorable thermoelectric performance with zT values up to 0.06. In contrast, compositions with MA+ contents (x = 0, x = 0.6, and x = 0.8) exhibit lower thermoelectric performance due to reduced Seebeck coefficients or suppressed conductivity. MASnI3 shows promising low-temperature thermoelectric performance with a maximum $zT$ of 0.10 at 423 K, attributed to its rapidly increasing Seebeck coefficient. These findings highlight the importance of microstructural control and composition optimization in the development of hybrid perovskites for thermoelectric applications.

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Reviewed August 15, 2026 · model on record in the stance chip above.

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J. Wei, L. Yang, Z. Ma, P. Song, M. Zhang, J. Ma, F. Yang and X. Wang, Journal of Materials Science, 2020, 55, 12642--12704

work page 2020

[2] [2]

Han, J.-W

Z. Han, J.-W. Li, F. Jiang, J. Xia, B.-P. Zhang, J.-F. Li and W. Liu, Journal of Materiomics, 2022, 8, 427--436

work page 2022

[3] [3]

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work page 2024

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F. Laghzal, S. I. Mbairi, A. Tihane, A. Alsaad and A. Narjis, Materials Science and Engineering: B, 2024, 307, 117512

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