Phase-Engineered Cobalt Selenide Nanoparticles Supported on Porous Carbon Substrate as Electrocatalyst for Water Splitting
Bibliographic record
Abstract
The development of stable and efficient electrocatalysts is essential for the advancement of water splitting technologies. Herein, we present a simple strategy for directly growing nanoscale cobalt selenide (CoSe) on a macroporous conducting carbon substrate (PCS) to form binder-free electrocatalysts. Notably, the nanoscale phases and morphologies of CoSe can be readily adjusted by altering the electrodeposition process. Through repeated chronoamperometry, tetragonal phase CoSe (t-CoSe) was obtained, whereas hexagonal-phase CoSe (h-CoSe) is achieved using cyclic voltammetry. Optimized t-CoSe@PCS demonstrated superior hydrogen evolution reaction (HER) and oxygen evolution reaction (OER) performance, achieving overpotentials of 59.4 and 290 mV with Tafel slopes of 40 and 44.9 mV dec –1, respectively. For overall water splitting, a cell voltage of only 1.76 V was required at 10 mA cm –2, with excellent stability maintained for over 25 h. Density functional theory (DFT) calculations indicated that hydrogen adsorption was more favorable on h-CoSe; however, the enhanced activity of t-CoSe was attributed to its porous structure, higher electrochemical surface area, and increased Co 3+ content, which promoted charge transfer and active site accessibility. These findings underscore the significance of phase engineering and structural design in enhancing the electrocatalyst performance for efficient overall water splitting.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".