Comparing electrocatalytic oxygen evolution using laser-fabricated NiO and CuO – A look at the influence of fabrication, kinetics and the inevitable phase transitions
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
• ULPING produced binder-free nanoporous NiO and CuO electrodes with distinct morphologies and mixed oxidation states. • NiO demonstrated superior OER activity with lower overpotential, faster kinetics, and reduced charge-transfer resistance compared to CuO. • Oxidation-state transitions under applied potential shows Ni³⁺ and Cu³⁺ as the main OER-active phases, but further oxidation to Ni⁴⁺ or unstable Cu³⁺ species caused metastability and degradation. • Phase-diagram modelling and Pourbaix diagram predict stable NiOOH formation under OER conditions, while Cu phases seem metastable, and future operando XRD/XAS with DFT defect-engineering will track and optimize catalytic transformations. The oxygen evolution reaction (OER) is the principal energy barrier in water electrolysis, often demanding overpotentials exceeding 400 mV on state-of-the-art catalysts and thus limiting sustainable hydrogen production. Here, we compare nanoporous NiO and CuO electrodes fabricated via ultrashort-pulse laser irradiation (ULPING) directly onto metal foils. By tuning pulse duration (∼150 ps), repetition rate (1.2 MHz), power (10 W) and scan speed (50 mm/s), we produced extensive hierarchical pore networks without binders or post-treatment. SEM and EDX mapping confirm distinct morphologies—elongated, fibrous ridges in CuO vs. globular, cauliflower-like clusters in NiO—and near-stoichiometric metal-to-oxygen ratios, with subsurface non-stoichiometries revealed by XPS (mixed Cu¹⁺/Cu²⁺ and Ni²⁺/Ni³⁺ species, abundant surface hydroxyls). In 1 M KOH, iR-corrected LSVs show NiO achieves 10 mA·cm⁻² at 430 mV and sustains 200 mA·cm⁻² at <800 mV, outperforming CuO (η₁₀ ≈ 511 mV). Tafel slopes of 127 mV/dec (NiO) vs. 168 mV/dec (CuO) reflect faster charge-transfer kinetics, corroborated by exchange current densities (j₀ ≈ 4.1 × 10⁻³ vs. 9.2 × 10⁻³ mA cm⁻²). EIS fits reveal lower R ct and diffusion impedance for NiO, while representative free-energy diagrams illustrate how transition-state positioning governs kinetic asymmetry. Theory-guide information, such as phase-diagram modeling (Ni–O–H, Cu–O–H at 300 K) predicts stable NiOOH formation under OER conditions, contrasting with metastable Cu(OH)₂ that rapidly reverts to CuO/Cu₂O. Furthermore, this work highlights that transition metal oxides inevitably undergo oxidation-state transitions under applied potential, with the +3 states of Ni and Cu emerging as the most active for OER but prone to over-oxidation and instability at higher potentials. It emphasizes the importance of experimentally and theoretically tracking these dynamic oxidation-state transformations to distinguish between catalytic activity and degradation mechanisms. Future work will focus on operando XRD/XAS to track these dynamic phase changes and DFT-guided defect engineering to further optimize earth-abundant OER catalysts for large-scale green hydrogen.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it