Pith. sign in

REVIEW 3 major objections 3 minor 69 references

Mechanism-Dependent Descriptors Enable Predictive Design of Oxygen Capacity in Perovskite Oxides

T0 review · 3 major / 3 minor · reviewed 2026-08-03 · deepseek-v4-flash

Pith's one-line read Oxygen capacity in perovskite oxides is governed by competing charge-compensation mechanisms, so the predictive descriptor depends on whether cationic or anionic redox dominates.

desk verdict Solid experimental dataset showing a true counterexample to EV,O, but the O-/Ln-reduction mechanism rests on Bader charges and the ICOHP descriptor is post-hoc — deserves review, not acceptance as is. read the letter →

arxiv 2607.29014 v1 pith:4WHXM3H6 submitted 2026-07-31 cond-mat.mtrl-sci

classification cond-mat.mtrl-sci
keywords oxygencapacityperovskiteoxideschargecompensationanionicredoxvacancyformationenergyICOHPrare-earthsubstitutionchemicallooping
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

The paper tries to establish that oxygen capacity in perovskite oxides is not described by a single universal descriptor such as oxygen-vacancy formation energy. Instead, it depends on which charge-compensation pathway is active: when cobalt cations absorb the electrons left by oxygen removal, vacancy formation energy predicts capacity; when lattice oxygen is oxidized to O−-like species and rare-earth cations are reduced, the average metal–oxygen bond strength (ICOHP) is the controlling descriptor. Using the Ln0.2Sr0.8CoO3 series, the paper shows that oxygen capacity decreases from La to Lu even though vacancy formation becomes easier, because heavy rare earths stabilize oxidized lattice oxygen and suppress net O2 release. This matters because it offers a mechanism-dependent framework for designing oxygen carriers for chemical looping and oxygen storage.

What carries the argument

The central objects are the two competing charge-compensation pathways—cationic redox (Co4+/Co3+/Co2+) and anionic redox (O2− → O−, i.e., oxygen-hole formation)—and the two descriptors tied to them: oxygen-vacancy formation energy (EV,O) and integrated crystal orbital Hamilton population (ICOHP), a bond-strength metric that sums the energy-weighted bonding interactions between each oxygen and its neighboring metal cations. ICOHP does the explanatory work in the anionic-redox regime by quantifying how strongly residual lattice oxygen is stabilized after vacancy formation; stronger bonding (more negative ICOHP) traps the oxygen as O−-like species and prevents its release as O2. Bader charge an

What would settle it

Measure O K-edge X-ray absorption and Ln M-edge or Ln 3d XPS on reduced heavy-rare-earth samples such as Lu0.2Sr0.8CoO3−δ: if no signature of oxidized oxygen (hole states) or reduced rare-earth ions appears, the proposed anionic-redox mechanism is wrong. Alternatively, compute the equilibrium oxygen capacity for a heavy-rare-earth composition using grand-canonical DFT at the operating temperature and compare directly with TGA; if the measured capacity is reproduced without invoking O− stabilization, the mechanism is unnecessary.

Watch

Extended reading notes

Core claim

The central claim is that oxygen capacity is governed by competing cationic and anionic charge-compensation pathways, and the correct predictive descriptor depends on which pathway dominates. In LaxSr1−xCoO3, increasing Sr content raises the Co4+ concentration and expands the cationic redox reservoir; here oxygen-vacancy formation energy (EV,O) captures the measured capacity trend. Across the isovalent rare-earth series Ln0.2Sr0.8CoO3, however, EV,O decreases from La to Lu while measured oxygen capacity decreases—the opposite of what vacancy thermodynamics predicts. The paper attributes this to an alternative pathway in which lattice oxygen is partially oxidized to O−-like species during oxy

Load-bearing premise

The claim that heavy rare-earth compositions suppress oxygen release by stabilizing O−-like oxygen and reducing rare-earth cations rests on Bader-charge assignments and binding-energy shifts rather than direct measurements of oxygen or rare-earth oxidation states, and on DFT supercells at Ln0.25Sr0.75CoO3 standing in for the experimentally measured Ln0.2Sr0.8CoO3.

Editorial extensions

If this is right

  • For compositions where cationic redox dominates, oxygen-vacancy formation energy remains a valid and simple descriptor for oxygen capacity.
  • For compositions where anionic redox dominates, ICOHP—the average metal–oxygen bond strength—can serve as a descriptor, replacing the ineffective vacancy-formation-energy metric.
  • High oxygen capacity requires balancing three factors: a large cationic redox reservoir, metal–oxygen bonds labile enough to permit O2 evolution yet strong enough to keep the structure intact, and avoidance of excessive stabilization of O−-like species.
  • In the Ln0.2Sr0.8CoO3 family, La0.2Sr0.8CoO3 delivers the highest measured oxygen capacity (0.179 mol O2 per mole of oxide, about 72% of the theoretical yield for reduction to the O2.5 stoichiometry).
  • The mechanism-dependent descriptor framework is proposed as a general strategy for designing oxygen-exchange oxides beyond the specific perovskite series studied.

Reading between the lines

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

  • The same competition between cationic and anionic redox may explain oxygen-capacity trends in other oxide families (e.g., Fe- or Mn-based perovskites) whenever heavy lanthanides or highly covalent B-site metals promote oxygen-hole formation; this is a testable generalization the paper hints at but does not demonstrate.
  • If O− stabilization is the suppressing factor, then substituting a redox-active B-site cation that competes for electrons (or disrupting the Co2Ln2Sr2 and Co2Sr4 coordination motifs) could recover oxygen capacity in heavy-rare-earth perovskites—an experiment the paper does not run.
  • ICOHP could be paired with high-throughput screening to rank oxygen carriers without computing full vacancy thermodynamics, but the paper does not validate this scaling.
  • The DFT supercells used for the rare-earth series are Ln0.25Sr0.75CoO3, while the experiments use Ln0.2Sr0.8CoO3; if the mechanism is sensitive to the exact Sr content, the predicted descriptor trend might shift quantitatively, though not necessarily qualitatively.
Share X Bluesky LinkedIn Reddit HN

Editorial analysis

A structured set of objections, weighed in public.

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

Referee Report

3 major / 3 minor

Summary. The paper combines TGA, XPS, and first-principles DFT to establish composition–oxygen capacity relationships in Ln_xSr_{1−x}CoO_3 (Ln = La–Lu). It shows that increasing Sr content expands the Co^{4+} cationic redox reservoir and that in this regime oxygen-vacancy formation energy (EV,O) correlates with measured oxygen capacity. For the rare-earth series Ln_0.2Sr_0.8CoO_3, the authors report that oxygen capacity decreases from La to Lu even though calculated EV,O decreases, and they attribute this to a competing anionic charge-compensation pathway involving O−-like lattice-oxygen species and reduction of heavy rare-earth cations. They propose average metal–oxygen bond strength, quantified by ICOHP, as the descriptor for oxygen capacity when anionic redox dominates.

Significance. If the mechanistic attribution is correct, the paper makes a useful contribution by showing that no single thermodynamic descriptor governs oxygen capacity in perovskites and by proposing ICOHP as a physically motivated descriptor for anionic-redox regimes. The experimental dataset is broad (fourteen rare-earth compositions) and the observation that EV,O fails to describe the rare-earth trend is clearly documented. The paper also gives explicit credit to the limitations of EV,O as a universal descriptor, which is valuable. However, the central mechanistic claim—heavy-rare-earth compositions stabilize O−-like species and undergo Ln reduction—currently rests on Bader charge analysis and projected-density-of-states features rather than a direct quantitative probe of oxygen or lanthanide oxidation states. This weakens the link between mechanism and descriptor and is the main barrier to acceptance.

major comments (3)
  1. [§Competing cationic and anionic charge-compensation pathways; Fig. 3a] DFT calculations are performed on Ln_0.25Sr_0.75CoO_3 (stated in the Fig. 3 caption), while the experiments and the central claim concern Ln_0.2Sr_0.8CoO_3 (Fig. 2). Fig. 3a plots these two sets on the same axes with no acknowledgment of the composition mismatch. If the vacancy formation energies or Bader charge responses are sensitive to the Ln/Sr ratio, the calculated inverse trend is not directly established for the measured compositions. Please either compute at the experimental composition, or demonstrate quantitatively that the 0.25/0.75 and 0.2/0.8 A-site configurations give the same mechanism and energetics.
  2. [§Competing cationic and anionic charge-compensation pathways; Fig. 3d–f] The load-bearing mechanistic assignment—that heavy rare-earth compositions form O−-like species and reduce Ln cations—is inferred from comparing Bader charges with reference compounds, but no reference compounds, thresholds, or uncertainties are given. Bader charges are not oxidation states and are especially unreliable for localized Ln 4f states and delocalized O 2p holes. The pDOS hole features and O 1s binding-energy shifts are consistent with O− formation but are not quantitative or species-specific. Since the entire 'competing charge-compensation pathway' explanation depends on this assignment, please provide more direct evidence (e.g., XAS/RIXS, DFT+U with occupation-matrix control, or a systematic benchmark of the Bader-based oxidation-state assignment against reference systems).
  3. [§Metal-oxygen bonding provides a descriptor; Fig. 4] ICOHP is selected as the descriptor after the oxygen-capacity trend has been observed on the same dataset, so its predictive power is not independently tested. The text calls ICOHP 'physically meaningful' and the framework 'predictive,' but the paper contains no out-of-sample validation or quantitative correlation (e.g., leave-one-Ln-out or prediction of an unmeasured composition). Without such a test, ICOHP is a post-hoc correlate, not a demonstrated descriptor. Please add a genuine predictive test or temper the predictive claim accordingly.
minor comments (3)
  1. [Throughout] The notation for the oxygen-hole species is inconsistent: 'O−', 'O1−', 'O⁻-like', and 'O−-like' are used interchangeably. Please standardize to a single notation, e.g., 'O^{−}-like (oxygen hole)'.
  2. [Fig. 3f caption and §Competing pathways] The 'fractions of partially oxidized O-anions' are mentioned but the definition and threshold for 'partially oxidized' are not given in the main text. Specify the Bader-charge criterion and how the fraction is computed, or move this definition to a clearly referenced Supplementary Note.
  3. [§Rare-earth substitutions; Fig. 2d] The sentence after 'systematic decrease in the Co^{4+} fraction' appears to be truncated or misformatted: it reads ' (O2-) binding energy (Fig. 1f).' This needs repair. Also, the Co 2p spectra are said to be 'nearly unchanged' across the rare-earth series, but Fig. 3d shows Co Bader-charge changes; please reconcile these two statements in the text.

Circularity Check

0 steps flagged · score 0.0 of 10

No significant circularity: oxygen capacity is measured independently, DFT energetics are computed from first principles, and the proposed ICOHP descriptor is not fitted to the capacity data.

full rationale

The paper's derivation chain does not reduce to its own inputs. Oxygen capacity is measured by TGA and is an external experimental benchmark. Oxygen-vacancy formation energies and ICOHP values are computed from DFT electronic structure, not fitted to the measured capacity. The central observation—that EV,O decreases from La to Lu while measured oxygen capacity decreases—is presented as an unexpected discrepancy, not as a predicted trend. The ICOHP descriptor is proposed after observing the correlation with the oxygen-capacity trend, which gives it a post-hoc character, but no parameter is fitted to the capacity data and the descriptor is not defined in terms of oxygen capacity. The Bader-charge-based assignment of O−-like species and rare-earth reduction is an interpretive model based on charge partitioning relative to reference compounds; it is methodologically debatable and load-bearing for the mechanistic explanation, but it is not circular with respect to the measured oxygen capacity. Self-citations by co-authors (e.g., refs. 7, 43, 52) appear in contextual statements about oxygen transport or energy-storage materials and are not load-bearing for the central claim. No uniqueness theorem or ansatz is smuggled in via self-citation. Therefore, no specific circular step can be exhibited under the required standard.

Assumptions & free parameters 1 free parameters · 4 assumptions · 1 invented entities

The paper adds no numerical free parameters to the experimental capacity data; the ICOHP descriptor is computed, not fitted. The main hidden inputs are DFT functional choices, the Bader-charge classification of oxidation states, and the use of Ln0.25Sr0.75CoO3 supercells to represent Ln0.2Sr0.8CoO3 experiments. The O^- species is imported from prior literature, which gives independent conceptual grounding but remains indirectly evidenced in this specific system.

free parameters (1)
  • Bader-charge oxidation-state classification threshold
    The assignment of O−-like species and reduced rare-earth cations is made by comparing Bader charges to reference compounds. The threshold for what counts as 'partially oxidized O' is not stated numerically; it is a hand-chosen classification that directly shapes the reported O− fraction in Fig. 3f.
assumptions (4)
  • domain assumption DFT total energies with the chosen exchange-correlation functional accurately rank oxygen-vacancy formation energies across the lanthanide series.
    The central inverse-EV,O trend in Fig. 3a and the ICOHP ordering come from DFT; no experimental validation of the EV,O values is provided.
  • domain assumption Bader charge analysis maps reliably to formal oxidation states and to the charge-compensation mechanism.
    Oxidation-state assignments for Co, Ln, and O in Figs 3d-f are based on Bader charges; this is an established approximation but not a direct measurement.
  • domain assumption TGA oxygen yield at 1100 °C in Ar reflects reversible oxygen capacity and is not dominated by kinetic or particle-size effects.
    The experimental trend is interpreted as thermodynamic oxygen capacity; cycling and temperature effects are discussed only in supplementary notes.
  • domain assumption O 2p hole states near the Fermi level after oxygen removal correspond to O−-like species that suppress O2 evolution.
    The paper invokes prior oxygen-redox literature (refs 27, 62, 64-66) to interpret pDOS and XPS features as O− formation, rather than measuring O− directly.
invented entities (1)
  • O^- -like oxygen-hole species stabilized in heavy-rare-earth perovskite oxygen carriers independent evidence
    purpose: Provides an alternative charge-compensation pathway that retains oxygen in the lattice and lowers experimentally accessible oxygen capacity despite favorable vacancy formation energies.
    The species has precedent in OER and battery cathode literature, and the paper offers pDOS hole states and O 1s binding-energy shifts as in-paper evidence; however, the in-paper evidence is indirect and not a unique fingerprint of O^-.

how reviews work

0 comments
Cite this review

Pith. "Pith review of Mechanism-Dependent Descriptors Enable Predictive Design of Oxygen Capacity in Perovskite Oxides." pith.science (2026). https://pith.science/paper/4WHXM3H6

@misc{pith2026260729014,
  author       = {Pith},
  title        = {Pith review of: Mechanism-Dependent Descriptors Enable Predictive Design of Oxygen Capacity in Perovskite Oxides},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/4WHXM3H6}},
  note         = {Machine review of arXiv:2607.29014}
}
read the original abstract

Perovskite oxides can reversibly accommodate substantial changes in oxygen stoichiometry, making them attractive for clean-energy technologies including chemical looping and oxygen storage. Despite extensive efforts to optimize their redox properties, predictive descriptors capable of assessing oxygen capacity across diverse compositions remain under development. Here, we combine experiments and first-principles calculations to establish composition and oxygen-capacity relationships in the model perovskite series LnxSr1-xCoO3. We confirm that increasing Sr2+ content promotes the formation of high-valence Co4+, expanding the cationic redox reservoir available during oxygen release and thereby enhancing oxygen capacity. In this regime, oxygen-vacancy formation energy captures the observed trend because oxygen release is primarily compensated by Co4+/Co3+/Co2+ redox. Across the rare-earth series, however, oxygen capacity decreases from La to Lu despite progressively lower oxygen-vacancy formation energies. We reveal that this counterintuitive behavior originates from an alternative charge-compensation pathway, in which lattice oxygen is partially oxidized to O1- -like species during oxygen removal. Heavy rare-earth compositions (Tb-Lu) preferentially stabilize these oxygen-hole species through distinct local bonding environments, with charge compensation involving both oxidized lattice oxygen and reduced rare-earth and cobalt cations, thereby suppressing net oxygen release despite favorable vacancy thermodynamics. We further identify average metal-oxygen bond strength, quantified by integrated crystal orbital Hamilton population, as a physically meaningful descriptor for oxygen capacity when anionic redox becomes dominant.

Discussion (0). Continue with ORCID to comment.

Reference graph

Works this paper leans on

69 extracted references

  1. [1]

    Jacob,M.,Nguyen,H.,Neurock,M.&Bhan,A.SelectiveChemicalLoopingCombustionofTerminal AlkynesinMixtureswithAlkenes. J. Am. Chem. Soc. 148,3139–3147(2026)

  2. [2]

    Zeng,L.,Cheng,Z.,Fan,J.A.,Fan,L.-S.&Gong,J.Metaloxideredoxchemistryforchemicallooping processes. Nat. Rev. Chem. 2,349–364(2018)

  3. [3]

    Energy Environ

    Zhu,X.,Imtiaz,Q.,Donat,F.,Müller,C.R.&Li,F.Chemicalloopingbeyondcombustion–a perspective. Energy Environ. Sci. 13,772–804(2020)

  4. [4]

    et al.MultipleandnonlocalcationredoxinCa-Ce-Ti-Mnoxideperovskitesforsolar thermochemicalapplications

    Wexler,R.B. et al.MultipleandnonlocalcationredoxinCa-Ce-Ti-Mnoxideperovskitesforsolar thermochemicalapplications. Energy Environ. Sci. 16,2550–2560(2023)

  5. [5]

    et al.Discoveryofmaterialsforsolarthermochemicalhydrogencombiningmachinelearning, computationalchemistry,experimentsandsystemsimulations

    Perry,J. et al.Discoveryofmaterialsforsolarthermochemicalhydrogencombiningmachinelearning, computationalchemistry,experimentsandsystemsimulations. NPJ Comput. Mater. 11,247(2025)

  6. [6]

    et al.Recentadvancesinceriumoxideredoxcycleforsolarthermochemicalhydrogen production

    Feng,Z. et al.Recentadvancesinceriumoxideredoxcycleforsolarthermochemicalhydrogen production. Fuel 407,137499(2026)

  7. [7]

    et al.AcceleratedPerovskiteOxideDevelopmentforThermochemicalEnergyStoragebya High-ThroughputCombinatorialApproach

    Cai,R. et al.AcceleratedPerovskiteOxideDevelopmentforThermochemicalEnergyStoragebya High-ThroughputCombinatorialApproach. Adv. Energy Mater. 13,2203833(2023)

  8. [8]

    Carrillo,A.J.,González-Aguilar,J.,Romero,M.&Coronado,J.M.SolarEnergyonDemand:AReview onHighTemperatureThermochemicalHeatStorageSystemsandMaterials. Chem. Rev. 119,4777–4816 (2019)

Show all 69 references
  1. [9]

    et al.Progressonthermalstoragetechnologieswithhighheatdensityinrenewablesandlow carbonapplications:Latentandthermochemicalenergystorage

    Xu,H.J. et al.Progressonthermalstoragetechnologieswithhighheatdensityinrenewablesandlow carbonapplications:Latentandthermochemicalenergystorage. Renew. Sustain. Energy Rev. 215, 115587(2025)

  2. [10]

    et al.Zero-strainMn-richlayeredcathodeforsustainableandhigh-energynext-generation batteries

    Park,G.T. et al.Zero-strainMn-richlayeredcathodeforsustainableandhigh-energynext-generation batteries. Nat. Energy 10,1215–1225(2025)

  3. [11]

    et al.NewTriclinicPerovskite-TypeOxideBa5CaFe4O12forLow-TemperatureOperated ChemicalLoopingAirSeparation

    Ogawa,S. et al.NewTriclinicPerovskite-TypeOxideBa5CaFe4O12forLow-TemperatureOperated ChemicalLoopingAirSeparation. J. Am. Chem. Soc. 145,22788–22795(2023)

  4. [12]

    Sunarso,J.,Hashim,S.S.,Zhu,N.&Zhou,W.Perovskiteoxidesapplicationsinhightemperature oxygenseparation,solidoxidefuelcellandmembranereactor:Areview. Prog. Energy Combust. Sci. 61, 57–77(2017)

  5. [13]

    et al.Aceria-protectedthree-layeredoxygentransportmembraneforstableandefficient membranereactors

    Zhou,X. et al.Aceria-protectedthree-layeredoxygentransportmembraneforstableandefficient membranereactors. Chem. Eng. J. 515,163358(2025)

  6. [14]

    et al.Oxygenpermeabilityandstabilityintheentropy-stabilizedCo-basedperovskiteoxygen permeablemembranes

    Xiang,Z. et al.Oxygenpermeabilityandstabilityintheentropy-stabilizedCo-basedperovskiteoxygen permeablemembranes. J. Memb. Sci. 739,124936(2026)

  7. [15]

    et al.PerovskiteOxideMaterialsforSolarThermochemicalHydrogenProductionfromWater SplittingthroughChemicalLooping

    Liu,C. et al.PerovskiteOxideMaterialsforSolarThermochemicalHydrogenProductionfromWater SplittingthroughChemicalLooping. ACS Catal. 14,14974–15013(2024)

  8. [16]

    et al.OutstandingPropertiesandPerformanceofCaTi0.5Mn0.5O3–δforSolar-Driven ThermochemicalHydrogenProduction

    Qian,X. et al.OutstandingPropertiesandPerformanceofCaTi0.5Mn0.5O3–δforSolar-Driven ThermochemicalHydrogenProduction. Matter 4,688–708(2021)

  9. [17]

    et al.AQuasi-OrderedMn-RichCathodewithHighlyReversibleOxygenAnionRedox Chemistry

    Huang,W. et al.AQuasi-OrderedMn-RichCathodewithHighlyReversibleOxygenAnionRedox Chemistry. J. Am. Chem. Soc. 147,26218–26225(2025)

  10. [18]

    Wang,D.,Wang,W.,Ma,J.&Zhao,H.B-siteNi-dopingandMgO/TiO2modifiedCaMnO3−δforthermal energystorage. J. Mater. Chem. A 14,29251–29265(2026)

  11. [19]

    Energy Environ

    Abdulmoez,M.,Othman,A.,Linjawi,M.&Al-Qutub,A.SolarFuelsViaMethaneValorization: ThermochemicalPathways,UnifiedMetrics,andTechno-EconomicPerspectives. Energy Environ. Mater. 0,e70331(2026)

  12. [20]

    et al.Pressure-enhancedperformanceofmetaloxidesforthermochemicalwaterandcarbon dioxidesplitting

    Tran,J.T. et al.Pressure-enhancedperformanceofmetaloxidesforthermochemicalwaterandcarbon dioxidesplitting. Joule 7,1759–1768(2023)

  13. [21]

    et al.CompositionallyComplexPerovskiteOxidesforSolarThermochemicalWaterSplitting

    Zhang,D. et al.CompositionallyComplexPerovskiteOxidesforSolarThermochemicalWaterSplitting. Chem. Mater. 35,1901–1915(2023)

  14. [22]

    Energy Environ

    Chung,C.,Qin,L.,Shah,V.&Fan,L.S.Chemicallyandphysicallyrobust,commercially-viableiron- basedcompositeoxygencarrierssustainableover3000redoxcyclesathightemperaturesforchemical loopingapplications. Energy Environ. Sci. 10,2318–2323(2017). 13

  15. [23]

    et al.Near100%COselectivityinnanoscalediron-basedoxygencarriersforchemicallooping methanepartialoxidation

    Liu,Y. et al.Near100%COselectivityinnanoscalediron-basedoxygencarriersforchemicallooping methanepartialoxidation. Nat. Commun. 10,5503(2019)

  16. [24]

    et al.Theuseofpoly-cationoxidestolowerthetemperatureoftwo-stepthermochemicalwater splitting

    Zhai,S. et al.Theuseofpoly-cationoxidestolowerthetemperatureoftwo-stepthermochemicalwater splitting. Energy Environ. Sci. 11,2172–2178(2018)

  17. [25]

    Rydén,M.,Leion,H.,Mattisson,T.&Lyngfelt,A.Combinedoxidesasoxygen-carriermaterialfor chemical-loopingwithoxygenuncoupling. Appl. Energy 113,1924–1932(2014)

  18. [26]

    Mishra,A.,Li,T.,Li,F.&Santiso,E.E.OxygenVacancyCreationEnergyinMn-Containing Perovskites:AnEffectiveIndicatorforChemicalLoopingwithOxygenUncoupling. Chem. Mater. 31, 689–698(2019)

  19. [27]

    et al.WaterelectrolysisonLa1−xSrxCoO3−δperovskiteelectrocatalysts

    Mefford,J.T. et al.WaterelectrolysisonLa1−xSrxCoO3−δperovskiteelectrocatalysts. Nat. Commun. 7, 11053(2016)

  20. [28]

    et al.Correlationbetweenstructureandmixedionic-electronicconductionmechanismfor(La1- xSrx)CoO3-δusingsynchrotronX-rayanalysisandfirstprinciplescalculations

    Itoh,T. et al.Correlationbetweenstructureandmixedionic-electronicconductionmechanismfor(La1- xSrx)CoO3-δusingsynchrotronX-rayanalysisandfirstprinciplescalculations. J. Mater. Chem. A 3,6943– 6953(2015)

  21. [29]

    et al.50-kWthmethane/airchemicalloopingcombustiontestswithcommercially preparedCuO-Fe2O3-aluminaoxygencarrierwithtwodifferenttechniques

    Siriwardane,R. et al.50-kWthmethane/airchemicalloopingcombustiontestswithcommercially preparedCuO-Fe2O3-aluminaoxygencarrierwithtwodifferenttechniques. Appl. Energy 213,92–99 (2018)

  22. [30]

    Imtiaz,Q.,Broda,M.&Müller,C.R.Structure-propertyrelationshipofco-precipitatedCu-rich,Al2O3- orMgAl2O4-stabilizedoxygencarriersforchemicalloopingwithoxygenuncoupling(CLOU). Appl. Energy 119,557–565(2014)

  23. [31]

    Montini,T.,Melchionna,M.,Monai,M.&Fornasiero,P.FundamentalsandCatalyticApplicationsof CeO2-BasedMaterials. Chem. Rev. 116,5987–6041(2016)

  24. [32]

    Low-Temperature

    Haribal,V.P. et al.ModifiedCeriafor“Low-Temperature”CO2Utilization:AChemicalLoopingRoute toExploitIndustrialWasteHeat. Adv. Energy Mater. 9,1901963(2019)

  25. [33]

    Scheffe,J.R.&Steinfeld,A.OxygenexchangematerialsforsolarthermochemicalsplittingofH2Oand CO2:areview. Mater. Today 17,341–348(2014)

  26. [34]

    Nano Lett

    Chen,Z.,Ma,B.,Dang,C.,Song,J.&Zhou,Y.High-EntropySpinelOxideNanostructuresasStable CathodesforSolidOxideFuelCells. Nano Lett. 25,6421–6428(2025)

  27. [35]

    et al.Manganese-basedA-sitehigh-entropyperovskiteoxideforsolarthermochemicalhydrogen production

    Liu,C. et al.Manganese-basedA-sitehigh-entropyperovskiteoxideforsolarthermochemicalhydrogen production. J. Mater. Chem. A 12,3910–3922(2023)

  28. [36]

    Energy Environ

    Yang,K.&Li,F.Computationallyaccelerateddiscoveryofmixedmetalcompoundsforchemical loopingcombustionandbeyond. Energy Environ. Sci. 18,10036–10047(2025)

  29. [37]

    et al.Materialsdesignofperovskitesolidsolutionsforthermochemicalapplications

    Vieten,J. et al.Materialsdesignofperovskitesolidsolutionsforthermochemicalapplications. Energy Environ. Sci. 12,1369–1384(2019)

  30. [38]

    ACS Catal

    Zhu,X.,Li,K.,Neal,L.&Li,F.PerovskitesasGeo-inspiredOxygenStorageMaterialsforChemical LoopingandThree-WayCatalysis:APerspective. ACS Catal. 8,8213–8236(2018)

  31. [39]

    Wexler,R.B.,Gautam,G.S.,Stechel,E.B.&Carter,E.A.FactorsGoverningOxygenVacancy FormationinOxidePerovskites. J. Am. Chem. Soc. 143,13212–13227(2021)

  32. [40]

    et al.High-throughputoxygenchemicalpotentialengineeringofperovskiteoxidesforchemical loopingapplications

    Wang,X. et al.High-throughputoxygenchemicalpotentialengineeringofperovskiteoxidesforchemical loopingapplications. Energy Environ. Sci. 15,1512–1528(2022)

  33. [41]

    Energy Environ

    Barcellos,R.D.,Sanders,M.D.,Tong,J.,McDaniel,A.H.&O’Hayre,R.P.BaCe0.25Mn0.75O3-δ- promisingperovskite-typeoxideforsolarthermochemicalhydrogenproduction. Energy Environ. Sci. 11, 3256–3265(2018)

  34. [42]

    Energy Environ

    Ji,Q.,Bi,L.,Zhang,J.,Cao,H.&Zhao,X.S.TheroleofoxygenvacanciesofABO3perovskiteoxides intheoxygenreductionreaction. Energy Environ. Sci. 13,1408–1428(2020)

  35. [43]

    et al.SubsurfaceA-sitevacancyactivateslatticeoxygeninperovskiteferritesformethane anaerobicoxidationtosyngas

    He,J. et al.SubsurfaceA-sitevacancyactivateslatticeoxygeninperovskiteferritesformethane anaerobicoxidationtosyngas. Nat. Commun. 15,5422(2024)

  36. [44]

    Mueller,D.N.,Machala,M.L.,Bluhm,H.&Chueh,W.C.Redoxactivityofsurfaceoxygenanionsin oxygen-deficientperovskiteoxidesduringelectrochemicalreactions. Nat. Commun. 6,6097(2015)

  37. [45]

    et al.ModulatingActivityofLatticeOxygenofABO3PerovskiteOxidesinRedoxReactions:A Review

    Long,T. et al.ModulatingActivityofLatticeOxygenofABO3PerovskiteOxidesinRedoxReactions:A Review. ACS Appl. Mater. Interfaces 17,20590–20612(2025). 14

  38. [46]

    et al.PerformancePredictionofHigh-EntropyPerovskitesLa0.8Sr0.2MnxCoyFezO3with AutomatedHigh-ThroughputCharacterizationofCombinatorialLibrariesandMachineLearning

    Bozal-Ginesta,C. et al.PerformancePredictionofHigh-EntropyPerovskitesLa0.8Sr0.2MnxCoyFezO3with AutomatedHigh-ThroughputCharacterizationofCombinatorialLibrariesandMachineLearning. Adv. Mater. 36,2407372(2024)

  39. [47]

    et al.FavorableRedoxThermodynamicsofSrTi0.5Mn0.5O3−δinSolarThermochemicalWater Splitting

    Qian,X. et al.FavorableRedoxThermodynamicsofSrTi0.5Mn0.5O3−δinSolarThermochemicalWater Splitting. Chem. Mater. 32,9335–9346(2020)

  40. [48]

    Liu,L.,Taylor,D.D.,Rodriguez,E.E.&Zachariah,M.R.Influenceoftransitionmetalelectronegativity ontheoxygenstoragecapacityofperovskiteoxides. Chem. Commun. 52,10369–10372(2016)

  41. [49]

    Solid State Ion

    Klimkowicz,A.,Świerczek,K.,Takasaki,A.&Dabrowski,B.OxygenstoragecapabilityinCo-andFe- containingperovskite-typeoxides. Solid State Ion. 257,23–28(2014)

  42. [50]

    Solid State Ion

    Mayeshiba,T.T.&Morgan,D.D.Factorscontrollingoxygenmigrationbarriersinperovskites. Solid State Ion. 296,71–77(2016)

  43. [51]

    Capstick,S.,Bulfin,B.,Naik,J.M.,Gigantino,M.&Steinfeld,A.Oxygenseparationviachemical loopingoftheperovskiteoxideSr0.8Ca0.2FeO3inpackedbedreactorsfortheproductionofnitrogenfrom air. Chem. Eng. J. 452,139289(2023)

  44. [52]

    et al.High-throughputdesignofcomplexoxidesasisothermal,redox-activatedCO2sorbentsfor greenhydrogengeneration

    Cai,R. et al.High-throughputdesignofcomplexoxidesasisothermal,redox-activatedCO2sorbentsfor greenhydrogengeneration. Energy Environ. Sci. 17,6279–6290(2024)

  45. [53]

    et al.Designprinciplesforoxygen-reductionactivityonperovskiteoxidecatalystsforfuel cellsandmetal-airbatteries

    Suntivich,J. et al.Designprinciplesforoxygen-reductionactivityonperovskiteoxidecatalystsforfuel cellsandmetal-airbatteries. Nat. Chem. 3,546–550(2011)

  46. [54]

    Emery,A.A.,Saal,J.E.,Kirklin,S.,Hegde,V.I.&Wolverton,C.High-ThroughputComputational ScreeningofPerovskitesforThermochemicalWaterSplittingApplications. Chem. Mater. 28,5621–5634 (2016)

  47. [55]

    et al.TunableOxygenVacancyFormationEnergeticsintheComplexPerovskiteOxide SrxLa1–xMnyAl1–yO3

    Deml,A.M. et al.TunableOxygenVacancyFormationEnergeticsintheComplexPerovskiteOxide SrxLa1–xMnyAl1–yO3. Chem. Mater. 26,6595–6602(2014)

  48. [56]

    et al.AccuratepredictionofoxygenvacancyconcentrationwithdisorderedA-sitecationsinhigh- entropyperovskiteoxides

    Park,J. et al.AccuratepredictionofoxygenvacancyconcentrationwithdisorderedA-sitecationsinhigh- entropyperovskiteoxides. npj Comput. Mater. 9,29(2023)

  49. [57]

    et al.PredictingOxygenOff-StoichiometryandHydrogenIncorporationinComplex PerovskiteOxides

    Millican,S.L. et al.PredictingOxygenOff-StoichiometryandHydrogenIncorporationinComplex PerovskiteOxides. Chem. Mater. 34,510–518(2022)

  50. [58]

    Energy Environ

    Mebane,D.S.&DeSouza,R.A.Ageneralisedspace-chargetheoryforextendeddefectsinoxygen-ion conductingelectrolytes:fromdilutetoconcentratedsolidsolutions. Energy Environ. Sci. 8,2935–2940 (2015)

  51. [59]

    et al.FeO6OctahedralDistortionActivatesLatticeOxygeninPerovskiteFerriteforMethane PartialOxidationCoupledwithCO2Splitting

    Zhang,X. et al.FeO6OctahedralDistortionActivatesLatticeOxygeninPerovskiteFerriteforMethane PartialOxidationCoupledwithCO2Splitting. J. Am. Chem. Soc. 142,11540–11549(2020)

  52. [60]

    et al.AninterfaceengineeringstrategyofMoS2/perovskiteoxideasabifunctionalcatalyst toboostoverallwatersplitting

    Zhao,Y.-N. et al.AninterfaceengineeringstrategyofMoS2/perovskiteoxideasabifunctionalcatalyst toboostoverallwatersplitting. J. Mater. Chem. A. 12,8757–8768(2024)

  53. [61]

    et al.Directevidenceofboostedoxygenevolutionoverperovskitebyenhancedlatticeoxygen participation

    Pan,Y. et al.Directevidenceofboostedoxygenevolutionoverperovskitebyenhancedlatticeoxygen participation. Nat. Commun. 11,2002(2020)

  54. [62]

    et al.CorrelatingtheelectronicstructureofperovskiteLa1−xSrxCoO3withactivityfortheoxygen evolutionreaction:ThecriticalroleofCo3dholestate

    Shen,Z. et al.CorrelatingtheelectronicstructureofperovskiteLa1−xSrxCoO3withactivityfortheoxygen evolutionreaction:ThecriticalroleofCo3dholestate. J. Energy Chem. 65,637–645(2022)

  55. [63]

    et al.OxygenEvolutionReactiononLa1–xSrxCoO3Perovskites:ACombinedExperimentaland TheoreticalStudyofTheirStructural,Electronic,andElectrochemicalProperties

    Cheng,X. et al.OxygenEvolutionReactiononLa1–xSrxCoO3Perovskites:ACombinedExperimentaland TheoreticalStudyofTheirStructural,Electronic,andElectrochemicalProperties. Chem. Mater. 27, 7662–7672(2015)

  56. [64]

    et al.Activatinglatticeoxygenredoxreactionsinmetaloxidestocatalyseoxygenevolution

    Grimaud,A. et al.Activatinglatticeoxygenredoxreactionsinmetaloxidestocatalyseoxygenevolution. Nat. Chem. 9,457–465(2017)

  57. [65]

    Assat,G.&Tarascon,J.M.Fundamentalunderstandingandpracticalchallengesofanionicredoxactivity inLi-ionbatteries. Nat. Energy 3,373–386(2018)

  58. [66]

    et al.Thestructuralandchemicaloriginoftheoxygenredoxactivityinlayeredandcation- disorderedLi-excesscathodematerials

    Seo,D.H. et al.Thestructuralandchemicaloriginoftheoxygenredoxactivityinlayeredandcation- disorderedLi-excesscathodematerials. Nat. Chem. 8,692–697(2016)

  59. [67]

    et al.TailoringCatalyticandOxygenReleaseCapabilityinLaFe1–xNixO3toIntensifyChemical LoopingReactionsatMediumTemperatures

    Zhang,R. et al.TailoringCatalyticandOxygenReleaseCapabilityinLaFe1–xNixO3toIntensifyChemical LoopingReactionsatMediumTemperatures. ACS Catal. 14,7771–7787(2024)

  60. [68]

    et al.ModulatingLatticeOxygeninDual-FunctionalMo-V-OMixedOxidesforChemical LoopingOxidativeDehydrogenation

    Chen,S. et al.ModulatingLatticeOxygeninDual-FunctionalMo-V-OMixedOxidesforChemical LoopingOxidativeDehydrogenation. J. Am. Chem. Soc. 141,18653–18657(2019). 15

  61. [69]

    et al.TuningRedoxTransitionsviaInductiveEffectinMetalOxidesandComplexes, andImplicationsinOxygenElectrocatalysis

    Kuznetsov,D.A. et al.TuningRedoxTransitionsviaInductiveEffectinMetalOxidesandComplexes, andImplicationsinOxygenElectrocatalysis. Joule 2,225–244(2018). 16 Figures Figure 1. Redox-inactive alkaline-earth substitution enhances oxygen capacity. a, Schematics depicting the structu...

Pith tools

Reviewed August 3, 2026 · model on record in the stance chip above.