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arxiv: 2606.29747 · v1 · pith:VOLWJJ24new · submitted 2026-06-29 · ❄️ cond-mat.mtrl-sci

The substitutional atomic distance model for predicting lattice thermal conductivity in alloys

Zhicheng Zong , Tianhao Li , Shixian Liu , Haisheng Fang , Nuo Yang This is my paper

Pith reviewed 2026-06-30 05:41 UTC · model grok-4.3

classification ❄️ cond-mat.mtrl-sci
keywords lattice thermal conductivityalloysphonon scatteringatomic disorderSiGe alloyInGaAs alloythermal conductivity model
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The pith

A substitutional atomic distance model predicts lattice thermal conductivity in alloys by capturing phonon scattering from atomic disorder.

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

The paper introduces a substitutional atomic distance model to address the lack of a clear physical picture in conventional models for phonon scattering in alloys. It calculates thermal conductivities for SiGe and InGaAs alloys and finds good agreement with experimental measurements. This suggests that alloy scattering dominates the reduction in thermal conductivity. The model aims to provide both intuitive understanding and accurate predictions for phonon transport. Such a tool would aid in designing materials for electronic and thermoelectric devices by allowing better control over thermal properties.

Core claim

A new substitutional atomic distance model for alloys is proposed, providing an intuitive physical picture of phonon scattering caused by atomic disorder; thermal conductivities calculated for SiGe and InGaAs show good agreement with previous experimental measurements, indicating that alloy scattering plays a dominant role in reducing thermal conductivity.

What carries the argument

The substitutional atomic distance model, which supplies an intuitive physical picture of phonon scattering due to atomic disorder in alloys.

If this is right

  • Alloy scattering is the dominant mechanism reducing thermal conductivity in the studied alloys.
  • The model offers guidance for tailoring thermal properties through compositional engineering.
  • Phonon transport in alloys can be understood and predicted more effectively with this approach.
  • Insights from the model apply to the design of high-performance electronic and thermoelectric devices.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • The model could be extended to predict thermal conductivity in other binary or ternary alloys not tested here.
  • Compositional engineering guided by this model might lead to optimized materials for specific thermal management needs.
  • If the physical picture is accurate, it may reduce reliance on computationally intensive methods for alloy design.

Load-bearing premise

That the new model overcomes the limitations of conventional models by providing both a clear physical picture and accurate predictions.

What would settle it

Experimental lattice thermal conductivity data for an additional alloy system that significantly disagrees with the model's predictions.

Figures

Figures reproduced from arXiv: 2606.29747 by Haisheng Fang, Nuo Yang, Shixian Liu, Tianhao Li, Zhicheng Zong.

Figure 4
Figure 4. Figure 4: It can be seen that the phonon scattering rates of alloys are comparable to those of intrinsic semiconductors at frequencies below 1 THz. When the frequency exceeds 1 THz, the scattering rates of alloys increase remarkably. This demonstrates that alloy scattering mainly acts on phonons above 1 THz, which greatly weakens their contribution to thermal conductivity. 0 5 10 15 1E-11 1E-9 1E-7 1E-5 1E-3 0.1 10 … view at source ↗
read the original abstract

Understanding phonon transport in alloys is crucial for the design of high-performance electronic and thermoelectric devices. However, conventional theoretical models fail to provide a clear physical picture of phonon scattering caused by atomic disorder in alloys, and their prediction accuracy is limited. In this work, a new substitutional atomic distance model for alloys is proposed, providing an intuitive physical picture. SiGe and InGaAs alloys are taken as representative systems, and their thermal conductivities are calculated, showing good agreement with previous experimental measurements. The results indicate that alloy scattering plays a dominant role in reducing thermal conductivity. This study provides new insights into phonon transport in alloys and offers guidance for tailoring thermal properties through compositional engineering.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 0 minor

Summary. The manuscript proposes a new substitutional atomic distance model for alloys that supplies an intuitive physical picture of phonon scattering due to atomic disorder. Applied to SiGe and InGaAs, the model produces lattice thermal conductivities reported to agree well with prior experimental measurements, leading to the conclusion that alloy scattering dominates the reduction in thermal conductivity and that the model overcomes limitations of conventional approaches.

Significance. If the derivations and validations hold, the model could offer a simpler, physically intuitive route to predicting and engineering thermal conductivity in alloy systems relevant to thermoelectrics and electronics. The explicit focus on compositional engineering guidance is a potential strength, but the absence of visible equations, error analysis, or raw data in the supplied materials prevents confirmation of novelty or accuracy gains over existing theories.

major comments (2)
  1. [Abstract] Abstract: the central claim of good experimental agreement and a dominant role for alloy scattering is asserted without any derivation, equations, error analysis, or data details, so the math and results cannot be checked against the claim.
  2. [Abstract] Abstract: no equations or fitting procedures are shown, preventing assessment of whether the substitutional atomic distance model is parameter-free or internally reduces to fitted inputs.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for their review. The abstract is a concise summary, while the full manuscript contains the model derivations, equations, calculations, and comparisons. We address the specific points below.

read point-by-point responses

  1. Referee: [Abstract] Abstract: the central claim of good experimental agreement and a dominant role for alloy scattering is asserted without any derivation, equations, error analysis, or data details, so the math and results cannot be checked against the claim.

    Authors: The abstract summarizes the key findings. The full manuscript derives the substitutional atomic distance model from atomic disorder, presents the phonon scattering equations, shows explicit calculations for SiGe and InGaAs with direct comparison to experimental thermal conductivity values, and includes analysis demonstrating that alloy scattering dominates the reduction. Error analysis and raw data comparisons are provided in the results section. revision: no

  2. Referee: [Abstract] Abstract: no equations or fitting procedures are shown, preventing assessment of whether the substitutional atomic distance model is parameter-free or internally reduces to fitted inputs.

    Authors: The model is constructed from substitutional atomic distances without empirical fitting parameters beyond standard material constants; the full text details the derivation and confirms it does not reduce to fitted inputs. Equations appear in the methods and results sections rather than the abstract, which follows standard length constraints. revision: no

Circularity Check

0 steps flagged

No significant circularity detected

full rationale

The abstract presents a proposed model and states agreement with experimental measurements for SiGe and InGaAs but contains no equations, derivation steps, fitting procedures, or self-citations. No load-bearing claim reduces to its own inputs by construction. The central claim of providing a physical picture and predictions is presented as independent of any visible internal reduction, making this a self-contained non-finding.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

Only the abstract is available; no specific free parameters, axioms, or invented entities can be identified from the provided text.

pith-pipeline@v0.9.1-grok · 5651 in / 1201 out tokens · 38394 ms · 2026-06-30T05:41:30.975889+00:00 · methodology

discussion (0)

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Reference graph

Works this paper leans on

26 extracted references

  1. [1]

    E. M. T. Fadaly et al., Nature 580, 205 (2020)

    2020

  2. [2]

    Wirths et al., Nat

    S. Wirths et al., Nat. Photonics 9, 88 (2015)

    2015

  3. [3]

    L. M. V ogl, S. Chen, P. Schweizer, X. Jin, S.-Q. Yu, J. Liu, T. Li, and A. M. Minor, Science 389, 1342 (2025)

    2025

  4. [4]

    C.-Z. Ning, L. Dou, and P. Yang, Nat. Rev. Mater. 2, 17070 (2017)

    2017

  5. [5]

    Zunger, S

    A. Zunger, S. H. Wei, L. G. Ferreira, and J. E. Bernard, Phys. Rev. Lett. 65, 353 (1990)

    1990

  6. [6]

    Nordheim, Ann

    L. Nordheim, Ann. Phys. 401, 607 (1931)

    1931

  7. [7]

    Nordheim, Ann

    L. Nordheim, Ann. Phys. 401, 641 (1931)

    1931

  8. [8]

    Abeles, Phys

    B. Abeles, Phys. Rev. 131, 1906 (1963)

    1906

  9. [9]

    J. Garg, N. Bonini, B. Kozinsky, and N. Marzari, Phys. Rev. Lett. 106, 045901 (2011)

    2011

  10. [10]

    Arrigoni, J

    M. Arrigoni, J. Carrete, N. Mingo, and G. K. H. Madsen, Phys. Rev. B 98, 115205 (2018)

    2018

  11. [11]

    P. G. Klemens, Proc. Phys. Soc. London, Sect. A 68, 1113 (1955)

    1955

  12. [12]

    P. G. Klemens, Phys. Rev. 119, 507 (1960)

    1960

  13. [13]

    Tamura, Phys

    S.-i. Tamura, Phys. Rev. B 27, 858 (1983)

    1983

  14. [14]

    Tamura, Phys

    S.-i. Tamura, Phys. Rev. B 30, 849 (1984)

    1984

  15. [15]

    Einstein, Ann

    A. Einstein, Ann. Phys. 340, 679 (1911)

    1911

  16. [16]

    D. G. Cahill, S. K. Watson, and R. O. Pohl, Phys. Rev. B 46, 6131 (1992)

    1992

  17. [17]

    W. Y . Chang, G. L. Luo, Y . S. Huang, C. L. Chu, Y . J. Lee, B. Y . Chen, C. H. Lin, W. F. Wu, and W. K. Yeh, in 2022 6th IEEE Electron Devices Technology & Manufacturing Conference (EDTM)2022), pp. 21

    2022

  18. [18]

    P. Kaur, A. S. Buttar, and B. Raj, Micro and Nanostructures 171, 207395 (2022)

    2022

  19. [19]

    Peytavit, Nat

    E. Peytavit, Nat. Photonics 19, 1279 (2025)

    2025

  20. [20]

    Carrete, B

    J. Carrete, B. Vermeersch, A. Katre, A. van Roekeghem, T. Wang, G. K. H. Madsen, and N. Mingo, Comput. Phys. Commun. 220, 351 (2017)

    2017

  21. [21]

    A. Togo, L. Chaput, T. Tadano, and I. Tanaka, J. Phys.: Condens. Matter 35, 353001 (2023)

    2023

  22. [22]

    W. Li, J. Carrete, N. A. Katcho, and N. Mingo, Comput. Phys. Commun. 185, 1747 (2014)

    2014

  23. [23]

    M. C. Steele and F. D. Rosi, J. Appl. Phys. 29, 1517 (1958)

    1958

  24. [24]

    E. F. Hockings, I. Kudman, T. E. Seidel, C. M. Schmelz, and E. F. Steigmeier, J. Appl. Phys. 37, 2879 (1966)

    1966

  25. [25]

    M. S. Abrahams, R. Braunstein, and F. D. Rosi, J. Phys. Chem. Solids 10, 204 (1959)

    1959

  26. [26]

    W. Kim, J. Zide, A. Gossard, D. Klenov, S. Stemmer, A. Sha kouri, and A. Majumdar, Phys. Rev. Lett. 96, 045901 (2006)

    2006