Pith. sign in

REVIEW 3 major objections 5 minor 39 references

Disorder by Design: Unveiling Local Structure and Functional Insights in High Entropy Oxides

T0 review · 3 major / 5 minor · reviewed 2026-08-07 · deepseek-v4-flash

Pith's one-line read The paper argues that local atomic arrangement, not average crystal symmetry, controls functionality in high-entropy oxides.

desk verdict A solid, well-organized review of local structure in HEOs whose central causal claim outruns the correlational evidence it cites. read the letter →

arxiv 2506.12888 v1 pith:XC2LHMTA submitted 2025-06-15 cond-mat.mtrl-sci

classification cond-mat.mtrl-sci
keywords highentropyoxideslocalstructureshort-rangeorderstabilizationconfigurationalpairdistributionfunctionX-rayabsorptionspectroscopyscanningtransmissionelectronmicroscopy
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

High entropy oxides pack five or more cations onto a crystal lattice while often keeping the averaged symmetry simple. This review argues that the properties that make these materials useful—ionic conductivity, catalytic activity, magnetism, dielectric response—are set by the local atomic arrangements that survive inside that average symmetry: cation size and valence mismatch, oxygen sublattice distortions, Jahn–Teller distortions, and short-range order. It pulls together element-specific spectroscopy, total-scattering pair distribution analysis, atomic-resolution electron microscopy, and computational modeling to show that the local structure, not the idealized periodic lattice, is the true origin of many functional phenomena. A sympathetic reader would take away that designing HEOs means engineering disorder at the angstrom scale rather than merely selecting compositions that stay single-phase.

What carries the argument

The central object is the "disorder cocktail": the set of coexisting local deviations—configurational, charge, strain/bond-length, and oxygen-sublattice disorder—that arise when chemically dissimilar cations share a sublattice. The argument runs through an ideal-solution thermodynamic scaffold, $S_{\mathrm{config}}=R\ln n$ for $n$ equimolar cations on a site, and through a suite of local probes: EXAFS/XANES for element-specific bond lengths and valence, total scattering with pair distribution function (PDF) analysis for real-space correlations out to several nanometers, scanning transmission electron microscopy with EELS for atomic-scale imaging and valence mapping, and atom probe tomography for three-dimensional chemical distributions. Case studies in pyrochlores, spinels, and perovskites connect these measurements to properties such as thermal conductivity, magnetism, and catalysis.

What would settle it

A decisive test would prepare a pair of HEOs with the same average symmetry and nearly identical composition but measurably different short-range order (for example via different cooling rates), then measure a functional property such as oxygen-ion conductivity or magnetic transition temperature. If the property is unchanged despite clearly different local coordination and SRO, the claim that local structure governs functionality is falsified; a complementary calorimetric or Monte Carlo check would test whether the actual stabilizing entropy matches $R\ln n$ within uncertainty.

Watch

Extended reading notes

Core claim

The paper's central claim is that local structure—short-range order, site-specific coordination, and nanoscale symmetry breaking—is increasingly recognized as the true origin of many functional phenomena in high-entropy oxides. On the paper's own terms, configurational disorder does more than stabilize a single phase; it creates a "disorder cocktail" of coexisting distortions that governs ionic transport, redox behavior, magnetic ordering, and dielectric response. The claim is supported by case studies in which average crystallography stays high-symmetry while local probes (EXAFS/XANES, Mössbauer spectroscopy, XMCD, neutron and X-ray pair distribution function analysis, STEM-EELS, atom probe tomography) reveal cation clustering, site-specific valence changes, Jahn–Teller distortions, and oxygen vacancy arrangements that correlate with observed properties. The review therefore frames local structure as the designable variable, with the entropy-stabilized single phase as a necessary but not sufficient scaffold.

Load-bearing premise

The entropy-stabilization argument assumes mixing is ideal, with configurational entropy $R\ln n$ and constant pairwise interaction parameters; real oxides have strong non-ideal, temperature-dependent interactions, so if ideal-solution assumptions fail, the quantitative entropy argument and the 1.5R threshold lose support even though local-structure tuning may remain valid.

Editorial extensions

If this is right

  • Predicting HEO properties will require local structure descriptors—bond-length variance, coordination environment, short-range order parameters—alongside average symmetry.
  • Combined XAFS, PDF, STEM-EELS, and DFT/MD/RMC modeling will become the standard way to verify disorder–property links.
  • Site-specific entropy tuning, where one sublattice alone crosses the 1.5R threshold, can optimize functionality while preserving structural coherence.
  • Systematic mapping of oxygen vacancies and oxygen-sublattice distortions is needed because charge compensation through oxygen vacancies controls ionic conductivity and redox activity.
  • Unified machine-learning platforms that ingest spectroscopy, diffraction, and microscopy data are a stated prerequisite for turning local structure into a navigable design space.

Reading between the lines

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

  • Editorial inference: the quantitative 1.5R threshold may be a poor guide for functional design; the local energetic landscape, not the label, is what determines behavior.
  • Editorial inference: the framework implies that disorder metrics can be treated as screening targets in computational materials discovery, not just as post-synthesis descriptors.
  • Editorial inference: a decisive experiment would compare two HEOs with identical average symmetry and near-identical composition but different annealing-controlled short-range order; if properties track the SRO, the central claim is confirmed.
Share X Bluesky LinkedIn Reddit HN

Signed reviews

No signed human review yet.

Editorial analysis

A structured set of objections, weighed in public.

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

Referee Report

3 major / 5 minor

Summary. This review paper surveys the role of local structural and chemical disorder in high entropy oxides (HEOs), covering foundational thermodynamics of entropy stabilization, the taxonomy of disorder types, the proposed influence of local structure on thermal, electrochemical, magnetic, and electronic properties, and a broad set of characterization techniques including XAFS, XMCD, Raman, EELS, Mössbauer spectroscopy, STEM, APT, total scattering, and computational methods. The central thesis, stated in the Conclusions, is that local structure—including short-range order, site-specific coordination, and nanoscale symmetry breaking—is increasingly recognized as the true origin of many functional phenomena in HEOs, and that integrating multiple characterization tools can establish a framework linking structural heterogeneity to emergent properties. The review closes with future directions emphasizing sublattice-specific entropy tuning, joint EXAFS/PDF modeling, oxygen sublattice studies, operando methods, and machine learning for multi-modal data integration.

Significance. If the causal thesis is accepted, this review would help reorient HEO design from average composition and crystallographic symmetry toward engineering local atomic arrangements. The paper is useful as a relatively comprehensive compilation of recent literature, with clear summaries of characterization techniques and two well-organized tables listing disorder types, affected properties, and techniques. The authors deserve credit for acknowledging, in Section 5, that observed property changes often admit competing explanations, and for including references that contest the sluggish diffusion and entropy-stabilization narratives. However, the review does not provide new data, code, or a systematic methodology; its main contribution is synthesis. The strongest asset is the multi-modal characterization overview and the case studies showing how complementary methods can constrain interpretations of local structure.

major comments (3)
  1. [Conclusions; Abstract] The Conclusions state that local structure 'is increasingly recognized as the true origin of many functional phenomena in HEOs,' and the Abstract claims the review 'establish[es] a framework linking structural heterogeneity to emergent properties.' This is a causal claim. In the studies reviewed in Sections 3 and 5, composition, average symmetry, and local ordering vary together; none appears to hold composition fixed while deliberately modifying only short-range order. Section 5 itself concedes that 'observed property changes often admit competing explanations.' The causal wording therefore overstates the evidence. Recommend reframing as 'strongly correlated with' or 'consistent with local-structure control,' and adding an explicit discussion of the experimental designs (e.g., isocompositional SRO variation via thermal history or sublattice substitution) needed to establish causation.
  2. [Sections 2.1 and 2.2] The review relies on the ideal-solution formula S_config = R ln(n) and the 1.5R threshold to define 'high entropy' (Sections 2.1, 2.4.1, 6), while Section 2.2 acknowledges non-ideal excess chemical potential. These two positions are in tension: real HEOs have temperature-dependent enthalpies and local ordering that violate the ideal-solution assumption, so the quantitative threshold has limited support. The review should state explicitly that the 1.5R value is a convention rather than a derived thermodynamic criterion, and note that non-ideal contributions can shift or invalidate entropy-stabilization thresholds. This caveat is load-bearing because the threshold is used throughout the review to classify HEOs and to motivate sublattice-specific entropy tuning.
  3. [Section 5] The case studies in Section 5 are drawn predominantly from the authors' own group (e.g., refs 41, 160, 214, 268, 295), with no stated selection criterion. Because these case studies are used to support the framework claim in the Conclusions, the lack of a systematic selection or a discussion of potential bias weakens the generalizability of the synthesis. Recommend stating how the cases were chosen and including counterexamples or negative results where local structure does not control properties, so that the review is more balanced and the claimed framework is better substantiated.
minor comments (5)
  1. [Section 4.1] Duplicate section numbering: both 'X-ray Magnetic Circular Dichroism' and 'Raman Spectroscopy' are numbered 4.1.2; renumber the second as 4.1.3 and adjust subsequent subsections accordingly.
  2. [Section 2.2] The Gibbs free energy equation is garbled: the text reads '𝛥𝛥𝛥𝛥(𝑇𝑇,𝑃𝑃) = 𝛥𝛥𝛥𝛥(𝑇𝑇,𝑃𝑃) − 𝑇𝑇𝛥𝛥𝑆𝑆(𝑇𝑇,𝑃𝑃)' which appears to omit the enthalpy symbol H; similarly, the regular-solution mixing enthalpy equation contains mis-rendered characters. These equations need to be typeset correctly.
  3. [Section 4.1.1] The EXAFS equation is garbled, with missing division signs and stray subscripts; as written it is not interpretable. Also, the sentence 'al. used EXAFS to support the claim...' is missing the lead author's name and should read 'Rost et al.'
  4. [Section 4.1 introduction] The text says 'Figure 4 provides a comparative overview of the primary spectroscopic methods discussed in this section,' but Figure 4 is the earlier 'disorder cocktail' diagram; the reference should be to the figure containing the EXAFS, Raman, XMCD, and EELS panels (Figure 5).
  5. [Reference list] Reference 4 (Kotsonis et al., Journal of the American Ceramic Society) is missing volume and page numbers; the DOI alone is not sufficient for a review reference list.

Circularity Check

0 steps flagged · score 0.0 of 10

No circularity found: the review makes no fitted predictions, and its central local-structure thesis is an explicitly interpretive synthesis rather than a derived result.

full rationale

This is a review article with no new derivations, fits, or parameter estimations, so the self-definitional and fitted-input patterns do not apply. The thermodynamic framework (S_mix = -R sum x_i ln x_i, H_mix = sum a0 x_i x_j) is textbook regular-solution theory cited to DeHoff's textbook, not to the authors' own work, and no quantity predicted later is constructed from these equations. The central claim that local structure is 'the true origin of many functional phenomena' is presented as a research synthesis; the paper explicitly flags the evidentiary weakness in Section 5: 'the observed property changes often admit competing explanations.' That admission shows the authors are not asserting a forced derivation. Many of the key references are indeed the authors' own prior studies (e.g., Rost et al. 2015, Almishal et al. 2025, Min et al. 2024), but the same claims are corroborated by independent groups (Braun, Jana, Riffe, Su, Jiang, Johnstone, Sarkar, Krysko, and others), so the self-citations are not load-bearing in a circular sense. The ideal-solution entropy assumption flagged as the weakest assumption is a modeling limitation, not a circular step. Accordingly, the correct finding is no significant circularity (score 0).

Assumptions & free parameters 0 free parameters · 6 assumptions · 0 invented entities

This review introduces no new free parameters or invented entities. It rests on standard thermodynamic models (ideal configurational entropy, regular solution enthalpy) and on trust in the primary literature it surveys. The most consequential assumption is the ideal-solution treatment of entropy, which underpins the HEO definition and entropy-stabilization arguments.

assumptions (6)
  • domain assumption Configurational entropy of an ideal multicomponent solid solution is S_config = -R Σ x_i ln x_i, and an equimolar five-component oxide reaches 1.609R.
    Used in Section 2.1 to define high entropy oxides and to state the 1.5R threshold. Real oxides with short-range order and non-ideal interactions deviate from this ideal formula.
  • standard math Phase stability is governed by the Gibbs free energy ΔG = ΔH - TΔS, with equilibrium at minimum ΔG.
    Standard thermodynamics, invoked in Section 2.2 as the basis for entropy stabilization.
  • domain assumption Regular solution enthalpy ΔH_mix = Σ a_0 x_i x_j with composition-independent interaction parameter a_0 captures mixing energetics.
    Section 2.2 introduces this regular solution model; a_0 is treated as a constant, but in real oxides it depends on temperature, pressure, and local coordination.
  • domain assumption Entropy-stabilized oxides are metastable and rely on the entropy term overcoming positive enthalpy at high temperature.
    Foundational definition used throughout (Sections 2.1 and 2.4.1); underpins the discussion of phase separation on cooling.
  • domain assumption The primary experimental studies cited (XAFS, PDF, STEM, APT, Mössbauer, etc.) correctly report local structural features such as bond length distributions, coordination, and short-range order.
    The review's case studies and the central claim about local structure depend on the validity of the original measurements, which the reviewer did not independently verify.
  • ad hoc to paper Local structural disorder causes, rather than merely correlates with, the observed functional properties in HEOs.
    This causal interpretation is the paper's central thesis (Conclusions), but the cited studies largely establish correlations; a causal link is not proven by the reviewed evidence.

how reviews work

0 comments
Cite this review

Pith. "Pith review of Disorder by Design: Unveiling Local Structure and Functional Insights in High Entropy Oxides." pith.science (2026). https://pith.science/paper/XC2LHMTA

@misc{pith2026250612888,
  author       = {Pith},
  title        = {Pith review of: Disorder by Design: Unveiling Local Structure and Functional Insights in High Entropy Oxides},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/XC2LHMTA}},
  note         = {Machine review of arXiv:2506.12888}
}
read the original abstract

High entropy oxides (HEOs) are a rapidly growing class of compositionally complex ceramics in which configurational disorder is engineered to unlock novel functionality. While average crystallographic symmetry is often retained, local structural and chemical disorder, including cation size and valence mismatch, oxygen sublattice distortions, and site-specific bonding, strongly governs ionic transport, redox behavior, magnetic ordering, and dielectric response. This review outlines how these modes of disorder manifest across key oxide families such as rock salt, spinel, fluorite, and perovskite. We highlight recent advances in spectroscopy, total scattering, and high-resolution microscopy enable multi-scale insight into short- and intermediate-range order. By integrating experimental observations with theoretical modeling of entropy and local energetics, we establish a framework linking structural heterogeneity to emergent properties. These insights not only deepen our fundamental understanding of disorder-property relationships but also offer a path toward rational design of tunable materials for catalysis, energy storage, electronics, and much more.

Discussion (0). Continue with ORCID to comment.

Reference graph

Works this paper leans on

39 extracted references · 38 canonical work pages

  1. [12]

    Yamaguchi, in Metal Ions and Complexes in Solution, eds

    275 T. Yamaguchi, in Metal Ions and Complexes in Solution, eds. T. Yamaguchi and I. Persson, Royal Society of Chemistry, 2023, pp. 20–39. 276 W. G. S�rling, in Complementarity Between Neutron and Synchrotron X -Ray Scattering, WORLD SCIENTIFIC, Zuoz, Switzerland, 1998, pp. 87–108. 277 C. L. Farrow, P . Juhas, J. W. Liu, D. Bryndin, E. S. Božin, J. Bloch, ...

  2. [13]

    Sarkar, R

    100 A. Sarkar, R. Djenadic, N. J. Usharani, K. P . Sanghvi, V. S. K. Chakravadhanula, A. S. Gandhi, H. Hahn and S. S. Bhatacharya, Journal of the European Ceramic Society, 2017, 37, 747–754. 101 A. Sarkar, L. Velasco, D. Wang, Q. Wang, G. Talasila, L. De Biasi, C. Kübel, T. Brezesinski, S. S. Bhatacharya, H. Hahn and B. Breitung, Nat Commun, 2018, 9,

  3. [18]

    Zhang, X

    153 M. Zhang, X. Duan, Y . Gao, S. Zhang, X. Lu, K. Luo, J. Ye, X. Wang, Q. Niu, P . Zhang and S. Dai, ACS Appl. Mater. Interfaces, 2023, 15, 45774–45789. 154 J. Li, X. Yuan, F. Tian, M. Wang, T. Hu, G. Xiong and X. Wang, Applied Catalysis A: General , 2024, 681, 119781. 155 M. P . Jimenez-Segura, T. Takayama, D. Bérardan, A. Hoser, M. Reehuis, H. Takagi ...

  4. [20]

    Jiang, C

    183 B. Jiang, C. A. Bridges, R. R. Unocic, K. C. Pi�ke, V . R. Cooper, Y . Zhang, D.-Y . Lin and K. Page, J. Am. Chem. Soc., 2021, 143, 4193–4204. 184 B. Jiang, K. C. Pi�ke, D.-Y . Lin, S. C. Purdy, X. Wang, Y . Zhao, Y . Zhang, P . Metz, A. Macias, H. M. Meyer, A. Y . Borisevich, J. Yan, V. R. Cooper, C. A. Bridges and K. Page, APL Materials, 2023, 11, 0...

  5. [23]

    Krysko, L

    228 E. Krysko, L. Min, Y . Wang, N. Zhang, J. P . Barber, G. E. Niculescu, J. T. Wright, F. Li, K. Burrage, M. Matsuda, R. A. Robinson, Q. Zhang, R. Katzbaer, R. Schaak, M. Terrones, C. M. Rost and Z. Mao, APL Materials, 2023, 11, 101123. 229 V. V. Popov, A. P . Menushenkov, A. A. Yastrebtsev, Y . V. Zubavichus, B. R. Gaynanov, A. A. Ivanov, S. G. Rudakov...

  6. [29]

    262 Mössbauer Spectroscopy Group, htps://www.rsc.org/membership-and- community/connect-with-others/through- interests/interest-groups/mossbauer/, (accessed May 29, 2025). 263 P . A. Penczek, Methods Enzymol, 2010, 482, 73–

  7. [31]

    Huang, L

    267 Z. Huang, L. Wang, T. Li, K. Venkatraman, Y . He, F. Polo-Garzon, J. Smith, Y . Du, L. Hu, Z. Wu, D. Jiang and M. Chi, Nano Lett., 2024, 24, 11537–11543. REVIEW 30 268 Y . Tan, J. T. Sivak, S. S. I. Almishal, J.-P . Maria, S. B. Sinnot, Y . Ji and L.-Q. Chen, Acta Materialia, 2025, 286, 120721. 269 H. Chen, K. Jie, C. J. Ja�a, Z. Yang, S. Yao, M. Liu,...

  8. [36]

    283 F.-Z. Dai, B. Wen, Y . Sun, H. Xiang and Y . Zhou, Journal of Materials Science & Technology, 2020, 43, 168–174. 284 B. Jiang, C. A. Bridges, R. R. Unocic, K. C. Pi�ke, V . R. Cooper, Y . Zhang, D.-Y . Lin and K. Page, J. Am. Chem. Soc., 2021, 143, 4193–4204. 285 Y . Nomura and R. Akashi, in Encyclopedia of Condensed Matter Physics (Second Edition) , ...

Show all 39 references
  1. [50]

    Fracchia, P

    59 M. Fracchia, P . Ghigna, T. Pozzi, U. Anselmi Tamburini, V. Colombo, L. Braglia and P . Torelli, J. Phys. Chem. Lett., 2020, 11, 3589–3593. 60 C. M. Rost, Z. Rak, D. W. Brenner and J. -P . Maria, Journal of the American Ceramic Society , 2017, 100, 2732–2738. 61 A. Sarkar, ...

  2. [51]

    272 M. T. Dove and G. Li, Nuclear Analysis , 2022, 1, 100037. 273 T. Egami and S. J. L. Billinge, Underneath the Bragg peaks: structural analysis of complex materials , Pergamon, Kiddington, Oxford, UK Boston,

  3. [95]

    291 K. C. Pi�ke, S. KC, M. Eisenbach, C. A. Bridges and V. R. Cooper, Chem. Mater., 2020, 32, 7507–7515. 292 Monte Carlo Simula�on - an overview | ScienceDirect Topics, htps://www.sciencedirect.com/topics/economics- econometrics-and-finance/monte-carlo-simula�on, (accessed Janu...

  4. [100]

    264 D. B. Williams and C. B. Carter, in Transmission Electron Microscopy: A Textbook for Materials Science, eds. D. B. Williams and C. B. Carter, Springer US, Boston, MA, 2009, pp. 3–22. 265 Transmission electron microscopy (TEM), htps://chem.libretexts.org/Courses/Franklin_an...

  5. [114]

    130 J. Gild, M. Samiee, J. L. Braun, T. Harrington, H. Vega, P . E. Hopkins, K. Vecchio and J. Luo, Journal of the European Ceramic Society, 2018, 38, 3578–3584. 131 M. Pianassola, M. Loveday, J. W. McMurray, M. Koschan, C. L. Melcher and M. Zhuravleva, J Am Ceram Soc, 2020, 1...

  6. [125]

    103 Q. Wang, A. Sarkar, D. Wang, L. Velasco, R. Azmi, S. S. Bhatacharya, T . Bergfeldt, A. Düvel, P . Heitjans, T. Brezesinski, H. Hahn and B. Breitung, Energy Environ. Sci., 2019, 12, 2433–2442. 104 Z.-M. Yang, K. Zhang, N. Qiu, H.-B. Zhang, Y . Wang and J. Chen, Chinese Phys...

  7. [347]

    Ranganathan, Current Science

    71 S. Ranganathan, Current Science. 72 X. Zhang, X. Wang and X. Lv, ChemSusChem, 2025, 18, e202401663. 73 J. Hao, F. Ma, Y . Chen, S. Lu, F. Duan, M. Du, C. Wang, W. Zhang and H. Zhu, New J. Chem. , 2024, 48 , 511–

  8. [514]

    Li, H.-W

    74 C.-H. Li, H.-W. Lin, H.-Y . T. Chen and H.-Y . Chen, in High- Entropy Materials: Theory, Experiments, and Applications, eds. J. Brechtl and P . K. Liaw, Springer Interna�onal Publishing, Cham, 2021, pp. 355–411. 75 S. S. I. Almishal, J. T. Sivak, G. N. Kotsonis, Y . Tan, M....

  9. [536]

    Zhang, Z

    232 P . Zhang, Z. Lou, L. Gong, J. Xu, Q. Chen, M. J. Reece, H. Yan, Z. Dashevsky and F. Gao, Journal of Alloys and Compounds, 2023, 937, 168366. 233 Z. Zheng, N. Sun, X. He, B. Deng, C. -W. Pao, W.-H. Huang, H. Liu, R. Wang, R. Yu, M. Lei and K. Huang, Journal of Alloys and C...

  10. [774]

    97 Z. Rak, C. M. Rost, M. Lim, P . Sarker, C. Toher, S. Curtarolo, J.-P . Maria and D. W. Brenner, Journal of Applied Physics, 2016, 120, 095105. 98 C. M. Rost, Z. Rak, D. W. Brenner and J. Maria, J Am Ceram Soc, 2017, 100, 2732–2738. 99 C. M. Rost, E. Sachet, T. Borman, A. Mo...

  11. [878]

    286 K. K. Ghose, J. J. Brown, T. J. Frankcombe, A. Page and A. Bayon, WIREs Energy and Environment, 2023, 12, e476. 287 P . Tukur, F. Tukur, Y . Mo, Q. Yan, C. Dun and J. Wei, Next Materials, 2024, 3, 100192. 288 K. L. Svane and J. Rossmeisl, Angewandte Chemie International Ed...

  12. [1035]

    290 S. Chae, L. Williams, J. Lee, J. T. Heron and E. Kioupakis, npj Comput Mater, 2022, 8,

  13. [1950]

    Seitz, Physics Today, 1995, 48, 22–27

    3 F. Seitz, Physics Today, 1995, 48, 22–27. 4 G. N. Kotsonis, S. S. I. Almishal, F. Marques dos Santos Vieira, V. H. Crespi, I. Dabo, C. M. Rost and J.-P . Maria, Journal of the American Ceramic Society , DOI:10.1111/jace.19252. 5 C. Oses, C. Toher and S. Curtarolo, Nat Rev Ma...

  14. [1967]

    Dąbrowa, M

    251 J. Dąbrowa, M. Stygar, A. Mikuła, A. Knapik, K. Mroczka, W. Tejchman, M. Danielewski and M. Mar�n, Materials Letters, 2018, 216, 32–36. 252 A. Kirsch, E. D. Bøjesen, N. Lefeld, R. Larsen, J. K. M a t h i e s e n , S . L . S k j æ r v ø , R . K . P i t k o w s k i , D . She...

  15. [2000]

    Chroneos, Applied Sciences, 2024, 14,

    66 A. Chroneos, Applied Sciences, 2024, 14,

  16. [2003]

    Langel, ChemTexts, 2023, 9,

    274 W. Langel, ChemTexts, 2023, 9,

  17. [2006]

    Zhong, H

    27 Y . Zhong, H. Sabarou, X. Yan, M. Yang, M. C. Gao, X. Liu and R. D. Sisson, Materials & Design, 2019, 182 , 108060. 28 H. L. Tuller and S. R. Bishop, Annu. Rev. Mater. Res. , 2011, 41, 369–398. 29 J. Frenkel, Z. Physik, 1926, 35, 652–669. 30 W. Schotky, Zeitschrift für Phys...

  18. [2011]

    Sarkar, B

    255 A. Sarkar, B. Eggert, L. Velasco, X. Mu, J. Lill, K. Ollefs, S. S. Bhatacharya, H. Wende, R. Kruk, R. A. Brand and H. Hahn, APL Materials, 2020, 8, 051111. 256 S. V. G. Ayyagari, L. Miao, M. Webb, J. Heron and N. Alem, Microscopy and Microanalysis , 2023, 29, 1768–1769. 25...

  19. [2013]

    Ravel and M

    239 B. Ravel and M. Newville, J Synchrotron Rad, 2005, 12, 537–541. 240 M. Newville, J. Phys.: Conf. Ser., 2013, 430 , 012007. 241 G. E. Niculescu, G. R. Bejger, J. P . Barber, J. T. Wright, S. S. I. Almishal, M. Webb, S. V. G. Ayyagari, J.- P . Maria, N. Alem, J. T. Heron and...

  20. [2044]

    55 E. J. Pickering and N. G. Jones, International Materials Reviews, 2016, 61, 183–202. 56 F . O t o , Y . Y a n g , H . B e i a n d E . P . G e o r g e , Acta Materialia, 2013, 61, 2628–2638. 57 D. Bérardan, S. Franger, D. Dragoe, A. K. Meena and N. Dragoe, physica status sol...

  21. [2358]

    196 J. Tsai, J. Chen, C. Huang, H. Lo, W. Ke, Y . Chu and W. Wu, Advanced Materials, 2023, 35, 2302979. 197 P . Y . Wu, K. T. Le, H.-Y. L i n , Y.-C. Chen, P .-H. Wu and J. M. Wu, ACS Nano, 2023, 17, 17417–17426. 198 Y . Yeh, C. Huang, A. Hou, C. Huang, Y . Lin and W. Wu, Smal...

  22. [2651]

    Dąbrowa, M

    69 J. Dąbrowa, M. Zajusz, W. Kucza, G. Cieślak, K. Berent, T. Czeppe, T. Kulik and M. Danielewski, Journal of Alloys and Compounds, 2019, 783, 193–207. 70 J. Dąbrowa and M. Danielewski, Metals, 2020, 10,

  23. [2871]

    Chroneos, Applied Sciences, 2024, 14,

    282 A. Chroneos, Applied Sciences, 2024, 14,

  24. [3089]

    Elmutasim, A

    163 O. Elmutasim, A. G. Hussien, A. Sharan, S. AlKhoori, M. A. Vasiliades, I. M. A. Taha, S. Kim, M. Harfouche, A. -H. Emwas, D. H. Anjum, A. M. Efstathiou, C. T. Yavuz, N. Singh and K. Polychronopoulou, ACS Appl. Mater. Interfaces, 2024, acsami.3c16521. 164 H. T. N. Hai, T. T...

  25. [3333]

    Sarkar, Q

    150 A. Sarkar, Q. Wang, A. Schiele, M. R. Chellali, S. S. Bhatacharya, D. Wang, T. Brezesinski, H. Hahn, L. Velasco and B. Breitung, Advanced Materials , 2019, 31, 1806236. 151 D. Bérardan, S. Franger, A. K. Meena and N. Dragoe, Journal of Materials Chemistry A, 2016, 4, 9536–...

  26. [3400]

    102 Q. Wang, A. Sarkar, Z. Li, Y . Lu, L. Velasco, S. S. Bhatacharya, T. Brezesinski, H. Hahn and B. Breitung, Electrochemistry Communications , 2019, 100 , 121–

  27. [5309]

    67 Q. Wan, F. Zhang and Y . Xiong, Journal of the European Ceramic Society, 2024, 44, 6629–6640. 68 Z. Zhao, H. Xiang, F.-Z. Dai, Z. Peng and Y . Zhou, Journal of Materials Science & Technology , 2019, 35, 2647–

  28. [5524]

    Porodko, L

    219 O. Porodko, L. Kavan, M. Fabián, B. Pitňa Lásková, V. Šepelák, H. Kolev, K. L. Da Silva, M. Lisnichuk and M. Zukalová, Nanoscale, 2025, 17, 3739–3751. 220 A. Sarkar, B. Eggert, R. Wite, J. Lill, L. Velasco, Q. Wang, J. Sonar, K. Ollefs, S. S. Bhatacharya, R. A. Brand, H. W...

  29. [5936]

    260 R. L. Mössbauer, Science, 1962, 137, 731–738. 261 Y . Yoshida and G. Langouche, Eds., Mössbauer Spectroscopy: Tutorial Book , Springer Berlin Heidelberg, Berlin, Heidelberg,

  30. [6019]

    Yeh, Ann

    38 J.-W. Yeh, Ann. Chim. Sci. Mat., 2006, 31, 633–648. 39 G. R. Bejger, M. K. Caucci, S. S. I. Almishal, B. Yang, J.- P . M a r i a , S . B . S i n n o t a n d C . M . R o s t , arXiv, 2025, preprint, DOI: 10.48550/ARXIV.2505.08055. 40 M. Jankousky, H. Chen, A. Novick and V. S...

  31. [8485]

    17 B. Ran, H. Li, R. Cheng, Z. Yang, Y . Zhong, Y . Qin, C. Yang and C. Fu, Advanced Science, 2024, 11, 2401034. 18 A. Amiri and R. Shahbazian-Yassar, J. Mater. Chem. A, 2021, 9, 782–823. 19 T. G. Riter, A. H. Phakatkar, M. G. Rasul, M. T. Saray, L. V. Sorokina, T. Shokuhfar, ...

Pith tools

Reviewed August 7, 2026 · model on record in the stance chip above.