Heterojunction of CoMoO4/SrTiO3 as efficient electrocatalysts for hydrogen evolution reaction and oxygen evolution reaction in alkaline media
Bibliographic record
Abstract
• A p–n heterojunction was engineered between CoMoO₄ (CMO) and SrTiO₃ (STO) to modulate electronic states for enhanced electrocatalysis. • The 60%CMO-STO heterojunction exhibited superior bifunctional activity with low overpotentials of 102 mV (HER) and 280 mV (OER) in alkaline media. • Enhanced hydroxyl adsorption and charge redistribution at the interface improved catalytic performance. • Electrochemical analysis revealed the highest double-layer capacitance (Cdl) and electrochemically active surface area (ECSA) for 60%CMO-STO. • The heterojunction demonstrated the lowest Tafel slope, indicating improved reaction kinetics and charge transfer efficiency. Developing efficient and cost-effective bifunctional electrocatalysts for hydrogen evolution reaction (HER) and oxygen evolution reaction (OER) by modulation of the electronic states is critical for sustainable hydrogen production. In this study, we engineered a heterojunction between CoMoO 4 (CMO) and SrTiO 3 (STO). The p-n junction between CMO and STO tunes their electronic structure and redistributes the surface charges. The positive charge induced by the p-n junction offers greater adsorption of hydroxyls on the surface of the electrocatalysts. The optimized 60% CMO/STO heterojunction exhibited the most promising bifunctional activity, achieving the lowest overpotential of 102 mV for HER and 280 mV for OER in alkaline media. Electrochemical studies revealed that the 60% CMO/STO shows the highest double-layer capacitance (Cdl) and the largest electrochemically active surface area (ECSA), indicating superior charge transfer and active site availability. Moreover, based on work functions, the enhanced electron transfer and optimized hydroxyl ions adsorption due to the position charge distribution result in superior HER and OER performance. Additionally, it demonstrates the smallest Tafel slope, highlighting its enhanced reaction kinetics. This work highlights the role of heterojunction and interfacial electron transfer descriptors for enhanced OER and HER performance of the p-n junction, providing a venue to design a new electrocatalytic system for bifunctional activities.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".