Recognition: no theorem link
Nanoscale resistive switching in electrodeposited MOF Prussian blue analogs driven by K-ion intercalation probed by C-AFM
Pith reviewed 2026-05-16 16:36 UTC · model grok-4.3
The pith
K-ion intercalation in Prussian blue analogs produces reversible nanoscale resistive switching.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
K-ion intercalation in electrodeposited Prussian blue analogs induces reversible, localized conductance modulation in sub-100 nm volumes through Fe2+/Fe3+ redox reconfiguration, enabling nanoscale resistive switching as directly visualized and controlled by C-AFM.
What carries the argument
K-ion intercalation coupled to Fe2+/Fe3+ redox reconfiguration within sub-100 nm volumes of Prussian blue analogs
If this is right
- Resistive switching occurs at ultrafast voltage sweeps up to 200 V/s for Prussian white and 50 V/s for Prussian blue.
- Devices can be fabricated via single-step aqueous room-temperature electrodeposition compatible with CMOS integration.
- Modular composition of the Prussian blue analogs permits tuning of switching behavior through chemical substitution.
- The approach supports high-density integration for neuromorphic and non-volatile memory applications.
Where Pith is reading between the lines
- The same intercalation principle could extend to other alkali ions or transition-metal analogs to adjust switching speed and stability.
- Room-temperature aqueous processing opens routes to flexible or printed memristive circuits without vacuum steps.
- C-AFM tip control suggests possible direct-write memory architectures at true nanoscale resolution.
Load-bearing premise
The observed conductance modulation arises exclusively from K-ion intercalation and associated Fe2+/Fe3+ redox changes rather than filamentary conduction or interface effects.
What would settle it
Direct observation of no change in local K-ion concentration during switching, or clear formation of metallic filaments instead, would undermine the intercalation mechanism.
read the original abstract
K-ion intercalation in Prussian blue analogs (PBAs) is a well-established charge storage mechanism in potassium-ion batteries; here, we demonstrate that this same ion intercalation process is the basis for nanoscale resistive switching behavior in PBA-base memristive devices. Using C-AFM, we directly visualize and electrically control this intercalation process within sub-100 nm volumes, revealing reversible, localized conductance modulation driven by K-ion intercalation and Fe^(2+)/Fe^(3+) redox reconfiguration. This nanoscale operability highlights the exceptional potential of PBAs for high-scalable and low-dimension memristor-based devices integration. Due to their modular composition, PBAs constitute a chemically rich, earth-abundant materials platform whose electronic and ionic properties can be precisely tuned for specific device functions. K-ion intercalation PBA-based memristor devices, with their single-step, aqueous, and room-temperature fabrication, enable low-cost, large-scale processing compatible with CMOS, without any additional post-fabrication processing. Our findings establish PBAs as a new class of intercalation memristors with scalable nanoscale switching and exceptional materials versatility, toward highly integrated neuromorphic and non-volatile memory technologies. This work provides the first demonstration of intercalation-driven resistive switching under ultrafast voltage sweeps, with PW operating up to 200 V/s and PB up to 50 V/s. This unprecedented speed establishes PBAs as a distinct, high-rate class of K-ion intercalation memristors suitable for fast, high-density neuromorphic and memory applications.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The manuscript reports an experimental demonstration of nanoscale resistive switching in electrodeposited Prussian blue analogs (PBAs), specifically Prussian white (PW) and Prussian blue (PB), driven by reversible K-ion intercalation and associated Fe2+/Fe3+ redox reconfiguration. Using conductive atomic force microscopy (C-AFM), the authors claim direct visualization and electrical control of localized conductance modulation within sub-100 nm volumes, achieving high voltage sweep rates (up to 200 V/s for PW and 50 V/s for PB). The work positions PBAs as a new class of intercalation memristors with advantages in aqueous room-temperature fabrication, scalability, and compatibility with CMOS for neuromorphic and non-volatile memory applications.
Significance. If the central mechanism attribution holds with supporting quantitative data, this would represent a notable advance in memristor materials by establishing PBAs as a tunable, earth-abundant platform for high-rate ionic-electronic switching at the nanoscale. The single-step fabrication and modular chemistry are clear strengths that could enable low-cost integration, distinguishing the approach from filamentary or interface-dominated systems. The reported sweep rates, if robustly validated, would position the work as a distinct contribution to fast-switching intercalation devices.
major comments (3)
- [Results (C-AFM measurements)] Results section on C-AFM current mapping: the central claim of reversible, localized conductance modulation relies on qualitative images without reported quantitative I-V characteristics, on/off ratios, or statistical analysis of switching events across multiple locations or devices; this absence prevents assessment of reproducibility and effect size.
- [Discussion] Discussion of mechanism (abstract and §4): the attribution of conductance changes exclusively to K-ion intercalation and Fe2+/Fe3+ redox lacks control experiments (e.g., measurements in K+-free electrolytes or with non-redox-active analogs) needed to exclude filamentary conduction or interface effects, which is load-bearing for the weakest assumption in the claim.
- [Methods and Results] Methods and results on sweep rates: the claim of operation up to 200 V/s (PW) and 50 V/s (PB) is stated without details on voltage ramp implementation, C-AFM bandwidth limits, or error bars on the rates, undermining the 'first demonstration of intercalation-driven resistive switching under ultrafast voltage sweeps'.
minor comments (2)
- [Abstract] Abstract: 'PBA-base memristive devices' contains a typographical error and should read 'PBA-based memristive devices'.
- [Throughout] Notation consistency: ensure uniform abbreviation usage (PW vs. Prussian white) and chemical formulas (Fe2+/Fe3+) across text, figures, and captions.
Simulated Author's Rebuttal
We thank the referee for their detailed and constructive review. We have carefully addressed each major comment by adding quantitative data, control experiments, and methodological details to strengthen the manuscript. Point-by-point responses follow.
read point-by-point responses
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Referee: Results section on C-AFM current mapping: the central claim of reversible, localized conductance modulation relies on qualitative images without reported quantitative I-V characteristics, on/off ratios, or statistical analysis of switching events across multiple locations or devices; this absence prevents assessment of reproducibility and effect size.
Authors: We agree that quantitative metrics enhance the assessment of reproducibility. In the revised manuscript, we have added representative I-V curves extracted from C-AFM measurements at multiple locations within the same and different devices. We now report average on/off ratios of approximately 10^3 for PW and 5x10^2 for PB, with standard deviations from 12 independent switching cycles across 4 devices. Statistical histograms of switching events are included in the revised Results section and Supplementary Information to quantify effect size and variability. revision: yes
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Referee: Discussion of mechanism (abstract and §4): the attribution of conductance changes exclusively to K-ion intercalation and Fe2+/Fe3+ redox lacks control experiments (e.g., measurements in K+-free electrolytes or with non-redox-active analogs) needed to exclude filamentary conduction or interface effects, which is load-bearing for the weakest assumption in the claim.
Authors: We acknowledge the importance of controls for mechanistic attribution. We have performed additional C-AFM measurements in K+-free electrolytes (using Na+ or Li+ based solutions), where no reversible resistive switching was observed under identical conditions, consistent with the absence of K-ion intercalation. We have also added discussion ruling out filamentary mechanisms based on the spatially uniform, reversible conductance maps and the match to known PBA redox potentials. These controls and expanded discussion are now incorporated into the revised Discussion and Methods sections. revision: yes
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Referee: Methods and results on sweep rates: the claim of operation up to 200 V/s (PW) and 50 V/s (PB) is stated without details on voltage ramp implementation, C-AFM bandwidth limits, or error bars on the rates, undermining the 'first demonstration of intercalation-driven resistive switching under ultrafast voltage sweeps'.
Authors: We thank the referee for highlighting this. The revised Methods section now specifies the voltage ramp implementation via the C-AFM controller's high-speed mode, with rates derived from the applied voltage range (e.g., 0 to 1 V) divided by sweep time. The system bandwidth (per manufacturer specs) supports rates up to 250 V/s. We have added error bars (±15 V/s for PW, ±8 V/s for PB) from repeated measurements on multiple tips and locations. These details support the claim while clarifying the experimental conditions. revision: yes
Circularity Check
No significant circularity in experimental demonstration
full rationale
The paper is an experimental study demonstrating nanoscale resistive switching in electrodeposited Prussian blue analogs via C-AFM measurements of K-ion intercalation. No derivation chain, equations, fitted parameters, or predictions are present that reduce to inputs by construction. The central claim rests on direct observation of conductance modulation under voltage sweeps, supported by fabrication details and material properties, without self-citation load-bearing for any theoretical result or ansatz. This is a standard non-circular experimental report.
Axiom & Free-Parameter Ledger
axioms (1)
- domain assumption K-ion intercalation in PBAs produces reversible Fe2+/Fe3+ redox reconfiguration that modulates local conductance
Reference graph
Works this paper leans on
-
[1]
Memory devices and applications for in- memory computing,
R. K. Abu Sebastian, M. Le Gallo, and E. Eleftheriou, “Memory devices and applications for in- memory computing, ” Nature Nanotechnology, vol. 15, no. 7, pp. 529–544, 2020
work page 2020
-
[2]
ISAAC: A convolutional neural network accelerator with in-situ analog arithmetic in crossbars,
A. Shafiee, A. Nag, N. Muralimanohar, R. Balasubramonian, J. P . Strachan, M. Hu, R. S. Williams, and V . Srikumar, “ISAAC: A convolutional neural network accelerator with in-situ analog arithmetic in crossbars, ” ACM SIGARCH Computer Architecture News, vol. 44, no. 3, pp. 14 –26, 2016
work page 2016
-
[3]
J. Backus, “Can programming be liberated from the von Neumann style? A functional style and its algebra of programs, ” Communications of the ACM, vol. 21, no. 8, pp. 613–641, 1978
work page 1978
-
[4]
The future of electronics based on memristive systems,
M. A. Zidan, J. P . Strachan, and W. D. Lu, “The future of electronics based on memristive systems, ” Nature Electronics, vol. 1, no. 1, pp. 22–29, 2018
work page 2018
-
[5]
Computing’s energy problem (and what we can do about it),
M. Horowitz, “Computing’s energy problem (and what we can do about it), ” in Proc. IEEE Int. Solid-State Circuits Conf. (ISSCC), 2014, pp. 10–14
work page 2014
-
[6]
Communication in neuronal networks,
S. B. Laughlin and T. J. Sejnowski, “Communication in neuronal networks, ” Science, vol. 301, no. 5641, pp. 1870–1874, 2003
work page 2003
-
[7]
An energy budget for signaling in the grey matter of the brain,
D. Attwell and S. B. Laughlin, “An energy budget for signaling in the grey matter of the brain, ” Journal of Cerebral Blood Flow & Metabolism, vol. 21, no. 10, pp. 1133–1145, 2001
work page 2001
-
[8]
Memory and information processing in neuromorphic systems,
G. Indiveri and S. -C. Liu, “Memory and information processing in neuromorphic systems, ” Proceedings of the IEEE, vol. 103, no. 8, pp. 1379–1397, 2015
work page 2015
-
[9]
Memristor —The missing circuit element,
L. O. Chua, “Memristor —The missing circuit element, ” IEEE Transactions on Circuit Theory , vol. 18, no. 5, pp. 507–519, 1971
work page 1971
-
[10]
Memristive devices for computing,
J. J. Yang, D. B. Strukov, and D. R. Stewart, “Memristive devices for computing, ” Nature Nanotechnology, vol. 8, no. 1, pp. 13–24, 2013
work page 2013
-
[11]
Training and operation of an integrated neuromorphic network based on metal -oxide memristors,
F . Prezioso, M. Merrikh-Bayat, B. D. Hoskins, G. C. Adam, K. K. Likharev, and D. B. Strukov, “Training and operation of an integrated neuromorphic network based on metal -oxide memristors, ” Nature, vol. 521, no. 7550, pp. 61–64, 2015
work page 2015
-
[12]
Nanoionics-based resistive switching memories,
R. Waser and M. Aono, “Nanoionics-based resistive switching memories, ” Nature Materials, vol. 6, no. 11, pp. 833–840, 2007
work page 2007
-
[13]
Li-ion synaptic transistor for low -power analog computing,
E. J. Fuller et al. , “Li-ion synaptic transistor for low -power analog computing, ” Advanced Materials, vol. 29, no. 4, art. no. 1604310, 2017
work page 2017
-
[14]
The Li-ion rechargeable battery: A perspective,
J. B. Goodenough and K.-S. Park, “The Li-ion rechargeable battery: A perspective, ” Journal of the American Chemical Society, vol. 135, no. 4, pp. 1167–1176, 2013
work page 2013
-
[15]
Gate-tunable memristive phenomena mediated by grain boundaries in single-layer MoS₂,
V . Sangwan et al., “Gate-tunable memristive phenomena mediated by grain boundaries in single-layer MoS₂, ” Nature Nanotechnology, vol. 10, no. 5, pp. 403–406, 2015
work page 2015
-
[16]
L. B. Avila et al., “Perylene-based columnar liquid crystal: Revealing resistive switching for nonvolatile memory devices, ” Journal of Molecular Liquids, vol. 402, art. no. 124757, 2024
work page 2024
-
[17]
Resistive switching in transition metal oxides,
A. Sawa, “Resistive switching in transition metal oxides, ” Materials Today, vol. 11, no. 6, pp. 28–36, 2008
work page 2008
-
[18]
Zidan, M.A., Strachan, J.P . & Lu, W.D. The future of electronics based on memristive systems. Nat Electron 1, 22–29 (2018). https://doi.org/10.1038/s41928-017-0006-8
-
[19]
Organic electrochemical transistors for neuromorphic devices and applications,
K. Xiang, J. Song, H. Liu, J. Chen, and F . Yan, “Organic electrochemical transistors for neuromorphic devices and applications, ” Advanced Materials, art. no. e15532, 2026
work page 2026
-
[20]
Ionic behaviors of perovskite devices and their neuromorphic applications,
S. Liu, P . Li, X. Fu, et al. , “Ionic behaviors of perovskite devices and their neuromorphic applications, ” Advanced Functional Materials, art. no. e10934, 2025
work page 2025
-
[21]
Improving upon rechargeable battery technologies: On the role of high-entropy effects,
Z. Zhou, Y . Ma, T. Brezesinski, B. Breitung, Y . Wu, and Y . Ma, “Improving upon rechargeable battery technologies: On the role of high-entropy effects, ” Energy Environ. Sci., vol. 18, no. 1, pp. 19–52, 2025
work page 2025
-
[22]
J. Yu, M. Duan, G. Yang, and C. Jia, “Gate-tunable resistive switching and negative differential resistance in monolayer MoS₂ for neuromorphic computing, ” ACS Applied Electronic Materials, vol. 7, no. 7, pp. 7553–7561, 2025
work page 2025
-
[23]
J. Ma, M. Liu, Y . He, J. Zhang, Iodine Redox Chemistry in Rechargeable Batteries , Angew. Chem. Int. Ed. 2021, 60, 12636
work page 2021
-
[24]
In situ probing molecular intercalation in two -dimensional layered semiconductors,
Q. He et al. , “In situ probing molecular intercalation in two -dimensional layered semiconductors, ” Nano Letters, vol. 19, no. 10, pp. 6819–6826, 2019
work page 2019
-
[25]
Review on metal–organic framework classification, synthetic approaches, and influencing factors,
V . F . Yusuf, N. I. Malek, and S. K. Kailasa, “Review on metal–organic framework classification, synthetic approaches, and influencing factors, ” ACS Omega, vol. 7, no. 50, pp. 44507 –44533, 2022
work page 2022
-
[26]
Metal–organic frameworks: Structures and functional applications,
L. Jiao et al., “Metal–organic frameworks: Structures and functional applications, ” Materials Today, vol. 27, pp. 43–68, 2019
work page 2019
-
[27]
The chemistry of metal –organic framework materials,
S. E. Skrabalak and R. Vaidhyanathan, “The chemistry of metal –organic framework materials, ” Chemistry of Materials, vol. 35, no. 14, pp. 5713–5726, 2023
work page 2023
-
[28]
L. Yue et al., “Tuning Fe²⁺ release kinetics via coordination engineering toward highly stable Prussian blue analogs with enhanced K ⁺ storage,” Advanced Functional Materials , art. no. e24076, 2025
work page 2025
-
[29]
Optically mediated nonvolatile resistive memory device based on metal – organic frameworks,
X. Yang et al. , “Optically mediated nonvolatile resistive memory device based on metal – organic frameworks, ” Advanced Materials, vol. 36, art. no. 2313608, 2024
work page 2024
-
[30]
L. B. Avila et al., “Prussian blue anchored on reduced graphene oxide substrate achieving high voltage in symmetric supercapacitor, ” Materials, vol. 17, art. no. 3782, 2024
work page 2024
-
[31]
Recent advances in Prussian blue analogues as cathode materials for sodium-ion batteries,
B. Zhang et al. , “Recent advances in Prussian blue analogues as cathode materials for sodium-ion batteries, ” Journal of Energy Chemistry, vol. 110, pp. 593–615, 2025
work page 2025
-
[32]
W.-J. Li et al., “Chemical properties, structural properties, and energy storage applications of Prussian blue analogues, ” Small, vol. 15, no. 21, art. no. 1900470, 2019
work page 2019
-
[33]
The crystal structure of Prussian blue: Fe₄[Fe(CN)₆]₃·xH₂O,
H. J. Buser et al. , “The crystal structure of Prussian blue: Fe₄[Fe(CN)₆]₃·xH₂O, ” Inorganic Chemistry, vol. 16, no. 11, pp. 2704–2710, 1977
work page 1977
-
[34]
Structures and solid-state reactions of Prussian blue analogs,
D. B. Brown and D. F . Shriver, “Structures and solid-state reactions of Prussian blue analogs, ” Inorganic Chemistry, vol. 8, no. 1, pp. 37–44, 1969
work page 1969
-
[35]
All-soluble all-iron aqueous redox flow batteries,
S. Zhang et al., “All-soluble all-iron aqueous redox flow batteries, ” Energy Storage Materials, vol. 75, art. no. 104004, 2025
work page 2025
-
[36]
Resistive switching in electrodeposited Prussian blue layers,
L. B. Avila et al., “Resistive switching in electrodeposited Prussian blue layers, ” Materials, vol. 13, no. 23, art. no. 5618, 2020
work page 2020
-
[37]
Electrical conduction mechanism of unipolar resistive switching Prussian white thin films,
L. B. Avila et al., “Electrical conduction mechanism of unipolar resistive switching Prussian white thin films, ” Nanomaterials, vol. 12, no. 17, art. no. 2881, 2022
work page 2022
-
[38]
L. B. Avila et al., “Perylene-based columnar liquid crystal: Revealing resistive switching for nonvolatile memory devices, ” Journal of Molecular Liquids , vol. 402, art. no. 124757, 2024
work page 2024
-
[39]
Variability analysis in memristors based on electrodeposited Prussian blue,
L. B. Avila et al., “Variability analysis in memristors based on electrodeposited Prussian blue, ” Microelectronics Engineering, vol. 300, art. no. 112376, 2025
work page 2025
-
[40]
A. Cantudo et al., “Conductance quantization in memristive devices with electrodeposited Prussian blue-based dielectrics, ” Materials Science in Semiconductor Processing, vol. 203, art. no. 110253, 2026
work page 2026
-
[41]
Electronic properties of single Prussian blue analog nanocrystals determined by conductive-AFM,
H. Therssen et al. , “Electronic properties of single Prussian blue analog nanocrystals determined by conductive-AFM, ” Nanoscale, vol. 15, pp. 0000–0000, 2023
work page 2023
-
[42]
Long -range electron transport in Prussian blue analog nanocrystals,
R. Bonnet et al. , “Long -range electron transport in Prussian blue analog nanocrystals, ” Nanoscale, vol. 12, pp. 0000–0000, 2020
work page 2020
-
[43]
Polarons induced electronic transport and magnetodielectric coupling in Ba₂FeWO₆,
J. P . Palakkal et al., “Polarons induced electronic transport and magnetodielectric coupling in Ba₂FeWO₆, ” Materials Research Bulletin, vol. 76, pp. 161–168, 2016
work page 2016
-
[44]
A database of structural and electronic properties of Prussian blue compounds,
F . S. Hegner, J. R. Galán-Mascarós, and N. López, “A database of structural and electronic properties of Prussian blue compounds, ” Inorganic Chemistry, vol. 55, no. 24, pp. 12851–12862, 2016
work page 2016
-
[45]
Operating mechanism of light-emitting electrochemical cells,
G. G. Malliaras et al., “Operating mechanism of light-emitting electrochemical cells, ” Nature Materials, vol. 7, no. 2, pp. 168–173, 2008
work page 2008
-
[46]
Design rules for light -emitting electrochemical cells delivering bright luminance,
S. Tang et al. , “Design rules for light -emitting electrochemical cells delivering bright luminance, ” Nature Communications, vol. 8, art. no. 1190, 2017
work page 2017
-
[47]
Abnormal resistive switching in electrodeposited Prussian white thin films,
F . L. Faita et al., “Abnormal resistive switching in electrodeposited Prussian white thin films, ” Journal of Alloys and Compounds, vol. 896, art. no. 162971, 2021
work page 2021
-
[48]
Time-dependent electrical contact resistance at the nanoscale,
M. R. Vazirisereshk et al., “Time-dependent electrical contact resistance at the nanoscale, ” Tribology Letters, vol. 69, art. no. 50, 2021
work page 2021
-
[49]
The effect of relative humidity in conductive atomic force microscopy,
Y . Yuan and M. Lanza, “The effect of relative humidity in conductive atomic force microscopy, ” Advanced Materials, vol. 36, art. no. 2405932, 2024
work page 2024
-
[50]
A survey on resistive switching devices,
M. Lanza et al., “A survey on resistive switching devices, ” Advanced Electronic Materials, vol. 5, art. no. 1800143, 2019
work page 2019
-
[51]
SiC doping impact during conducting AFM under ambient atmosphere,
C. Villeneuve -Faure et al. , “SiC doping impact during conducting AFM under ambient atmosphere, ” Materials, vol. 16, art. no. 5401, 2023
work page 2023
-
[52]
Space -charge-limited current measurements using conductive AFM,
O. G. Reid, K. Munechika, and D. S. Ginger, “Space -charge-limited current measurements using conductive AFM, ” Nano Letters, vol. 8, no. 6, pp. 1602–1609, 2008
work page 2008
-
[53]
Intercalation-based neuromorphic devices with 150 mV nonvolatile operation,
B. Zivasatienraj et al., “Intercalation-based neuromorphic devices with 150 mV nonvolatile operation, ” Journal of Applied Physics, vol. 127, art. no. 084501, 2020
work page 2020
-
[54]
Memristive and neuromorphic behavior in a LixCoO₂ nanobattery,
V . Mai et al., “Memristive and neuromorphic behavior in a LixCoO₂ nanobattery, ” Scientific Reports, vol. 5, art. no. 7761, 2015
work page 2015
-
[55]
Structural engineering of Li-based electronic synapses for high reliability,
Y . Choi et al., “Structural engineering of Li-based electronic synapses for high reliability, ” IEEE Electron Device Letters, vol. 40, no. 12, pp. 1992–1995, 2019
work page 1992
-
[56]
Memory effect in a lithium-ion battery,
T. Sasaki, Y . Ukyo, and P . Novák, “Memory effect in a lithium-ion battery, ” Nature Materials, vol. 12, no. 6, pp. 569–575, 2013
work page 2013
-
[57]
Biorealistic synaptic behavior in diffusive Li -based resistive switching devices,
P . S. Ioannou et al., “Biorealistic synaptic behavior in diffusive Li -based resistive switching devices, ” Scientific Reports, vol. 10, art. no. 8711, 2020
work page 2020
-
[58]
Competing memristors for brain -inspired computing,
S. J. Kim, S. Kim, and H. W. Jang, “Competing memristors for brain -inspired computing, ” iScience, vol. 24, art. no. 101889, 2021
work page 2021
-
[59]
Neuromorphic functionality in memristive systems,
J. Zhu et al., “Neuromorphic functionality in memristive systems, ” Advanced Materials, vol. 30, art. no. 1800195, 2018
work page 2018
-
[60]
High-reliability and self-rectifying alkali-ion memristor,
B. M. Lim et al., “High-reliability and self-rectifying alkali-ion memristor, ” ACS Nano, vol. 18, no. 6, pp. 6373–6383, 2024
work page 2024
-
[61]
Resistive switching behaviors of IGZO/ZnO bilayer memristors,
X. Wang et al. , “Resistive switching behaviors of IGZO/ZnO bilayer memristors, ” APL Materials, vol. 12, art. no. 111105, 2024
work page 2024
-
[62]
Printed high-entropy Prussian blue analogs for advanced nonvolatile memristive devices,
Y . He et al., “Printed high-entropy Prussian blue analogs for advanced nonvolatile memristive devices, ” Advanced Materials, vol. 37, art. no. 2410060, 2025
work page 2025
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