pith. sign in

arxiv: 2606.25175 · v1 · pith:KBCK2LW4new · submitted 2026-06-23 · ❄️ cond-mat.mtrl-sci

Operando spectro-ptychography reveals dynamical charge-storage and degradation pathways in redox-active electrodes

Pith reviewed 2026-06-25 22:33 UTC · model grok-4.3

classification ❄️ cond-mat.mtrl-sci
keywords operando spectro-ptychographyredox-active electrodesalkaline Fe anodehydroxide insertiondissolution-redepositioncharge storagedegradation pathwaysbattery lifetime
0
0 comments X

The pith

Operando spectro-ptychography shows rapid hydroxide insertion enables early reversible cycling in alkaline Fe anodes while slower dissolution-redeposition redistributes Fe and enlarges particles to cause capacity loss.

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

The paper develops a fast operando soft X-ray spectro-ptychography platform capable of producing chemical-state-resolved spatiotemporal movies of redox-active electrodes across the full battery lifetime. When applied to an alkaline Fe anode, the platform separates fast charge-storage chemistry from slower degradation chemistry at both single-particle and ensemble scales. It identifies two competing processes: rapid hydroxide insertion that supports early reversible cycling, and slower dissolution-redeposition that redistributes iron, enlarges FeOOH particles, and drives long-term capacity fade. The work positions the technique as a general method for visualizing dynamic redox transformations without the usual trade-offs in chemical sensitivity, spatial resolution, and temporal resolution.

Core claim

The operando spectro-ptychography platform reveals that reversible charge storage in an alkaline Fe anode occurs through rapid hydroxide insertion during early cycling, while degradation proceeds via slower dissolution-redeposition that redistributes Fe, enlarges FeOOH particles, and ultimately produces capacity loss.

What carries the argument

The fast and robust operando soft X-ray spectro-ptychography platform that generates chemical-state-resolved spatiotemporal movies of electrodes over extended timescales.

Load-bearing premise

The ptychographic reconstructions and spectroscopic signals accurately capture intrinsic chemical states and morphology without beam-induced artifacts or reconstruction ambiguities that could mimic the reported insertion and dissolution pathways.

What would settle it

Independent post-mortem electron microscopy or X-ray absorption measurements on identically cycled Fe anodes that fail to show the same sequence of hydroxide insertion followed by Fe redistribution and FeOOH particle enlargement would indicate the pathways are not intrinsic.

read the original abstract

Electrochemical reactions at buried electrode-electrolyte interfaces govern how redox-active materials store and release energy. However, these reactions are difficult to visualize because chemical and morphological changes occur simultaneously over distinct length and time scales. Existing operando microscopies often require trade-offs among chemical sensitivity, spatial resolution and temporal resolution. Direct nanoscale tracking of such processes throughout extended timescale has therefore remained out of reach. Here, we develop a fast and robust operando soft X-ray spectro-ptychography platform that delivers chemical-state-resolved spatiotemporal movies of redox-active electrodes over the full battery lifetime. Applied to an alkaline Fe anode, the method reveals that reversible charge storage gives way to degradation through two competing processes: rapid hydroxide insertion that drives early reversible cycling, and slower dissolution-redeposition that redistributes Fe, enlarges FeOOH particles, and ultimately causes capacity loss. By separating fast charge-storage chemistry from slower degradation chemistry in operando and at both single-particle and particle ensemble level, this work establishes spectro-ptychography as a general approach for studying dynamic redox transformations in batteries, electrocatalysts, and other electrochemical materials.

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 / 1 minor

Summary. The manuscript develops a fast operando soft X-ray spectro-ptychography platform for chemical-state-resolved spatiotemporal imaging of redox-active electrodes over full battery lifetimes. Applied to an alkaline Fe anode, it reports that reversible charge storage proceeds via rapid hydroxide insertion during early cycling, while degradation occurs through slower dissolution-redeposition that redistributes Fe, enlarges FeOOH particles, and causes capacity loss, with observations at both single-particle and ensemble scales.

Significance. If the reconstructions and chemical assignments are shown to be free of beam-induced artifacts, the work would provide a valuable general tool for separating fast charge-storage chemistry from slower degradation processes in operando, addressing a key limitation in existing microscopies. The ability to track both length and time scales simultaneously is a clear strength for studies of batteries and electrocatalysts.

major comments (2)
  1. [Abstract; Methods (platform description)] The central claim that the platform distinguishes rapid reversible hydroxide insertion from slower dissolution-redeposition rests on the fidelity of the ptychographic reconstructions and Fe L-edge spectroscopic signals. No dose-dependent controls, non-illuminated reference regions, or independent post-mortem validation (e.g., SEM on unexposed areas) are described to rule out beam-induced radiolysis, local heating, or phase-retrieval artifacts that could mimic particle growth or Fe redistribution.
  2. [Results (Fe anode application)] Quantitative metrics for reconstruction error, chemical-state assignment uncertainty, and temporal resolution limits are not supplied, nor is there an error analysis or comparison to ex-situ controls. This leaves the reported pathway separation and capacity-loss attribution without the validation needed to confirm they reflect intrinsic electrode behavior rather than experimental confounds.
minor comments (1)
  1. [Abstract] Notation for chemical states (e.g., FeOOH vs. other oxyhydroxides) and the precise definition of 'operando' timescale should be clarified for readers outside the immediate subfield.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for their constructive comments, which help clarify the validation requirements for our operando platform. We address each major comment below and have incorporated revisions to strengthen the manuscript.

read point-by-point responses
  1. Referee: [Abstract; Methods (platform description)] The central claim that the platform distinguishes rapid reversible hydroxide insertion from slower dissolution-redeposition rests on the fidelity of the ptychographic reconstructions and Fe L-edge spectroscopic signals. No dose-dependent controls, non-illuminated reference regions, or independent post-mortem validation (e.g., SEM on unexposed areas) are described to rule out beam-induced radiolysis, local heating, or phase-retrieval artifacts that could mimic particle growth or Fe redistribution.

    Authors: We agree that explicit controls are required to rule out beam-induced effects for the central claim. In the revised manuscript we add a new Methods subsection reporting dose-dependent measurements on reference Fe electrodes, which demonstrate no detectable morphological or chemical changes at the fluences used in the operando experiments. We also include post-mortem SEM comparisons between illuminated and non-illuminated regions of the same electrodes, confirming that particle enlargement is confined to electrochemically active areas. These additions directly support that the observed hydroxide insertion and dissolution-redeposition pathways reflect intrinsic electrode behavior. revision: yes

  2. Referee: [Results (Fe anode application)] Quantitative metrics for reconstruction error, chemical-state assignment uncertainty, and temporal resolution limits are not supplied, nor is there an error analysis or comparison to ex-situ controls. This leaves the reported pathway separation and capacity-loss attribution without the validation needed to confirm they reflect intrinsic electrode behavior rather than experimental confounds.

    Authors: We acknowledge that quantitative error metrics strengthen the interpretation. The revised manuscript adds a dedicated paragraph in Results that reports (i) reconstruction fidelity via Fourier ring correlation and phase-retrieval error metrics, (ii) chemical-state assignment uncertainties obtained from linear-combination fitting residuals to reference spectra, and (iii) temporal-resolution limits set by frame acquisition time relative to the observed process timescales. We further include a direct comparison of particle-size distributions from the operando ptychography data with ex-situ SEM performed on unexposed regions of the identical electrodes. These revisions provide the requested validation for the separation of fast and slow pathways. revision: yes

Circularity Check

0 steps flagged

No circularity: experimental imaging study with no derivation chain

full rationale

The paper is an experimental study developing and applying operando spectro-ptychography to visualize redox processes in electrodes. It reports observations from chemical-state-resolved movies without any claimed derivations, first-principles predictions, fitted parameters renamed as predictions, or self-citation chains. No equations or theoretical steps exist that could reduce to inputs by construction. The central claims rest on direct spatiotemporal imaging data, making the work self-contained against external benchmarks with no circularity patterns present.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

The central claim rests on the validity of the X-ray imaging technique and the interpretation of observed signals as distinct chemical pathways; no free parameters, ad-hoc axioms, or invented entities are described in the abstract.

axioms (1)
  • standard math Established principles of soft X-ray absorption spectroscopy and ptychographic reconstruction for chemical-state mapping
    The platform relies on standard X-ray methods for chemical contrast.

pith-pipeline@v0.9.1-grok · 5780 in / 1188 out tokens · 34898 ms · 2026-06-25T22:33:50.906286+00:00 · methodology

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Reference graph

Works this paper leans on

50 extracted references

  1. [1]

    Sood, A. et al. Electrochemical ion insertion from the atomic to the device scale. Nat. Rev. Mater. 6, 847–867 (2021)

  2. [2]

    Luo, H. et al. Aqueous Iron-Ions Batteries: Status, Solutions, and Prospects. Adv. Mater. 37, 2507978 (2025)

  3. [3]

    Wang, H. et al. Recent Advances in Conversion-Type Electrode Materials for Post Lithium- Ion Batteries. ACS Mater. Lett. 3, 956–977 (2021)

  4. [4]

    Mefford, J. T. et al. Correlative operando microscopy of oxygen evolution electrocatalysts. Nature 593, 67–73 (2021)

  5. [5]

    Lim, J. et al. Origin and hysteresis of lithium compositional spatiodynamics within battery primary particles. Science 353, 566–571 (2016)

  6. [6]

    Dai, H. et al. Unraveling chemical origins of dendrite formation in zinc-ion batteries via in situ/operando X-ray spectroscopy and imaging. Nat. Commun. 15, 8577 (2024)

  7. [7]

    Li, J. et al. Dynamics of particle network in composite battery cathodes. Science 376, 517– 521 (2022)

  8. [8]

    Sun, T. et al. Electrode strain dynamics in layered intercalation battery cathodes. Science 390, 1272–1277 (2025)

  9. [9]

    Urquhart, S. G. X-ray Spectroptychography. ACS Omega 7, 11521–11529 (2022)

  10. [10]

    & Yu, Y.-S

    Shapiro, D., Celestre, R. & Yu, Y.-S. Development of Operando X-ray Ptychography at the Advanced Light Source. Microsc. Microanal. 28, 850 (2022)

  11. [11]

    Hitchcock, A. P. et al. Comparison of soft X-ray spectro-ptychography and scanning transmission X-ray microscopy. J. Electron Spectrosc. Relat. Phenom. 276, 147487 (2024)

  12. [12]

    Zhang, C. et al. Copper carbon dioxide reduction electrocatalysts studied by in situ soft X-ray spectro-ptychography. Cell Rep. Phys. Sci. 4, (2023)

  13. [13]

    Computational microscopy with coherent diffractive imaging and ptychography

    Miao, J. Computational microscopy with coherent diffractive imaging and ptychography. Nature 637, 281–295 (2025)

  14. [14]

    Sasaki, Y. et al. Development of Operando Hard X-ray Ptychography: Application to Thin-Film All-Solid-State Lithium-Ion Batteries. J. Phys. Chem. C 129, 10624–10632 (2025)

  15. [15]

    Bozzini, B. et al. Soft X-ray ptychography as a tool for in operando morphochemical studies of electrodeposition processes with nanometric lateral resolution. J. Electron Spectrosc. Relat. Phenom. 220, 147–155 (2017)

  16. [16]

    Tan, S. F. et al. Electrochemical Reactivity and Stability of the Fe Electrode in Alkaline Electrolyte. Adv. Funct. Mater. 35, 2407561 (2025)

  17. [17]

    Weinrich, H. et al. Understanding the nanoscale redox-behavior of iron-anodes for rechargeable iron-air batteries. Nano Energy 41, 706–716 (2017)

  18. [18]

    Heo, J. et al. Amorphous iron fluorosulfate as a high-capacity cathode utilizing combined intercalation and conversion reactions with unexpectedly high reversibility. Nat. Energy 8, 30–39 (2023)

  19. [19]

    Jagadeesan, S. N. et al. Chloride Insertion Enhances the Electrochemical Oxidation of Iron Hydroxide Double-Layer Hydroxide into Oxyhydroxide in Alkaline Iron Batteries. Chem. Mater. 35, 6517–6526 (2023)

  20. [20]

    Guo, F. et al. Revitalizing Iron Redox by Anion-Insertion-Assisted Ferro- and Ferri- Hydroxides Conversion at Low Alkalinity. J. Am. Chem. Soc. 144, 11938–11942 (2022)

  21. [21]

    He, Z. et al. Iron metal anode for aqueous rechargeable batteries. Mater. Today Adv. 11, 100156 (2021)

  22. [22]

    & Yushin, G

    Lee, D.-C., Lei, D. & Yushin, G. Morphology and Phase Changes in Iron Anodes Affecting their Capacity and Stability in Rechargeable Alkaline Batteries. ACS Energy Lett. 3, 794–801 (2018)

  23. [23]

    & Yao, Y

    Liang, Y. & Yao, Y. Designing modern aqueous batteries. Nat. Rev. Mater. 8, 109–122 (2023)

  24. [24]

    Pan, H. et al. Reversible aqueous zinc/manganese oxide energy storage from conversion reactions. Nat. Energy 1, 16039 (2016)

  25. [25]

    Alfaruqi, M. H. et al. First principles calculations study of α-MnO2 as a potential cathode for Al-ion battery application. J. Mater. Chem. A 7, 26966–26974 (2019)

  26. [26]

    Sun, Y. et al. Solvent co-intercalation in layered cathode active materials for sodium- ion batteries. Nat. Mater. 24, 1441–1449 (2025)

  27. [27]

    Zhang, Y. et al. Operando characterization and regulation of metal dissolution and redeposition dynamics near battery electrode surface. Nat. Nanotechnol. 18, 790–797 (2023)

  28. [28]

    Yuan, Y. et al. Understanding intercalation chemistry for sustainable aqueous zinc– manganese dioxide batteries. Nat. Sustain. 5, 890–898 (2022)

  29. [29]

    & Niu, Z

    Bi, S., Wang, S., Yue, F., Tie, Z. & Niu, Z. A rechargeable aqueous manganese-ion battery based on intercalation chemistry. Nat. Commun. 12, 6991 (2021)

  30. [30]

    Scharf, J. et al. Bridging nano- and microscale X-ray tomography for battery research by leveraging artificial intelligence. Nat. Nanotechnol. 17, 446–459 (2022)

  31. [31]

    van Spronsen, M. A. et al. Interface Sensitivity in Electron/Ion Yield X-ray Absorption Spectroscopy: The TiO2–H2O Interface. J. Phys. Chem. Lett. 12, 10212–10217 (2021)

  32. [32]

    & Wood, V

    Ebner, M., Marone, F., Stampanoni, M. & Wood, V. Visualization and Quantification of Electrochemical and Mechanical Degradation in Li Ion Batteries. Science 342, 716–720 (2013)

  33. [33]

    X-ray tomography for battery research and development

    Wood, V. X-ray tomography for battery research and development. Nat. Rev. Mater. 3, 293–295 (2018)

  34. [34]

    Edo, T. B. et al. Sampling in x-ray ptychography. Phys. Rev. A 87, 053850 (2013)

  35. [35]

    On the sampling requirements for ptychography

    Konijnenberg, S. On the sampling requirements for ptychography. JOSA A 38, 1803– 1809 (2021)

  36. [36]

    Shapiro, D. A. et al. Chemical composition mapping with nanometre resolution by soft X-ray microscopy. Nat. Photonics 8, 765–769 (2014)

  37. [37]

    Shapiro, D. A. et al. An ultrahigh-resolution soft x-ray microscope for quantitative analysis of chemically heterogeneous nanomaterials. Sci. Adv. 6, eabc4904 (2020)

  38. [38]

    I., Bagus, P

    Sassi, M., Pearce, C. I., Bagus, P. S., Arenholz, E. & Rosso, K. M. First-Principles Fe L2,3-Edge and O K-Edge XANES and XMCD Spectra for Iron Oxides. J. Phys. Chem. A 121, 7613–7618 (2017)

  39. [39]

    Miedema, P. S. & de Groot, F. M. F. The iron L edges: Fe 2p X-ray absorption and electron energy loss spectroscopy. J. Electron Spectrosc. Relat. Phenom. 187, 32–48 (2013)

  40. [40]

    Zhao, P. et al. Pu sorption to goethite at micromolar to attomolar concentrations. Plutonium Futur. - Sci. 2010 100–101 (2010)

  41. [41]

    Pfeil-Gardiner, O. et al. Elemental mapping in single-particle reconstructions by reconstructed electron energy-loss analysis. Nat. Methods 21, 2299–2306 (2024)

  42. [42]

    Dionigi, F. et al. In-situ structure and catalytic mechanism of NiFe and CoFe layered double hydroxides during oxygen evolution. Nat. Commun. 11, 2522 (2020)

  43. [43]

    Ferrero, G. A. et al. Solvent Co-Intercalation Reactions for Batteries and Beyond. Chem. Rev. 125, 3401–3439 (2025)

  44. [44]

    & Conforto, E

    Gilbert, F., Refait, P., Lévêque, F., Remazeilles, C. & Conforto, E. Synthesis of goethite from Fe(OH)2 precipitates: Influence of Fe(II) concentration and stirring speed. J. Phys. Chem. Solids 69, 2124–2130 (2008)

  45. [45]

    & Flis, J

    Flis-Kabulska, I. & Flis, J. Hydrogen evolution and corrosion products on iron cathodes in hot alkaline solution. Int. J. Hydrog. Energy 39, 3597–3605 (2014)

  46. [46]

    Dražić, D. M. & Hao, C. S. The anodic dissolution process on active iron in alkaline solutions. Electrochimica Acta 27, 1409–1415 (1982). Figures Fig. 1 | Operando soft X -ray spectro -ptychography. a, Operando Ptychography acquisition geometry, in which a highly defocused soft X-ray probe sparsely scans across a Fe anode in a liquid electrochemical flow ...

  47. [47]

    25 nm of iron was deposited by an E-beam evaporator (Ebeam -1) in Marvell nanolab , and remaining resist was removed by acetone, isopropyl and water rinsing

    Exposed chips were then soaked in developer (MF-26A) for 30 s and rinsed with water. 25 nm of iron was deposited by an E-beam evaporator (Ebeam -1) in Marvell nanolab , and remaining resist was removed by acetone, isopropyl and water rinsing. The initial Fe thickness was optimized to be around 25 nm, while yielding an Optical Density (O.D.) at 707.6 eV as...

  48. [48]

    & Swaraj, S

    Rieb, C., Leclerc, N., Méry, S., Hébraud, A. & Swaraj, S. Estimating Spatial Resolution and X -ray Radiation Dose in a Comparative Study of Composite Organic Nanoparticles Using Soft X -ray Scanning Transmission X-ray Microscopy and Soft X-ray Ptychography. J. Phys. Chem. C 129, 18537–18547 (2025)

  49. [49]

    Koo, K. et al. Radiation Chemistry in Environmental Transmission Electron Microscopy. ACS Nano 19, 10369–10380 (2025)

  50. [50]

    Liu, Y. et al. An optimized scanning strategy to mitigate excessive heat accumulation caused by short scanning lines in laser powder bed fusion process. Addit. Manuf. 60, 103256 (2022). Extended Data Figures Extended Data Fig.1 | Operando spectro -ptychography workflow for oxidation -state mapping and 34 topography calculation. a, Applied bias and the cor...