Recent Progress in Cathode Material Design for CO<sub>2</sub> Electrolysis: From Room Temperature to Elevated Temperatures
Bibliographic record
Abstract
High Resolution Image Download MS PowerPoint Slide Conspectus Rapid economic growth and societal development have led to an ever-increasing demand for energy; the excessive exploration and use of fossil fuels have caused an alarming level of carbon dioxide (CO 2 ) emission into the atmosphere, adversely impacting the environment and quality of life in human society. CO 2 electrolysis (CO 2 RR) offers the opportunity to store renewable energy (such as wind, solar, or tidal energy) in the form of chemicals and fuels while reducing CO 2 emissions. Through the CO 2 RR process, a variety of chemicals and fuels can be obtained using different electrocatalysts. Based on the different operating temperature and reaction conditions, CO 2 electrolysis can be categorized into low-temperature and high-temperature CO 2 RR. To date, great effort has been devoted to designing the electrocatalysts that can improve the electrocatalytic performance for CO 2 RR, including catalytic activity, selectivity, and stability. For low-temperature CO 2 RR, different approaches have been utilized to optimize the catalyst structure and properties, thereby enhancing the electrocatalytic performance. Given the different working mechanism of high-temperature CO 2 RR operating in the solid oxide electrolysis cells (SOECs), the cathode materials not only need to meet the requirements of the low temperature but also need to possess high ionic and electronic conductivity, robust coking resistance, and superior compatibility with the electrolytes. In pursuit of this objective, considerable effort is directed toward designing more efficient and effective cathode electrodes for high-temperature CO 2 RR. Beyond traditional metal and metal oxide materials, perovskite-based materials are emerging as promising candidates due to their unique structure and favorable performance in CO 2 RR at elevated temperatures. In this Account, we present recent research progress on the design of cathode materials in CO 2 electrolysis. We first discuss low-temperature CO 2 RR electrocatalyst design using different engineering strategies, including structural engineering, defect engineering, phase engineering, doping engineering, interface engineering, and microenvironment engineering. Combined with some representative work from our group and other researchers, the advantages of these diverse strategies are further elucidated, providing a more in-depth understanding of electrocatalyst design. Then, we summarize the cathode materials for high-temperature CO 2 RR utilization based on the material types such as metal/metal oxides and perovskite-based materials. Further discussion of different approaches, such as infiltration, doping, and in situ exsolution is summarized, aims to improving the electrocatalytic performance of perovskite-based materials for high-temperature CO 2 RR. Finally, we present current challenges and future prospects of CO 2 electrolysis in both the design of cathode materials and the reaction system, with the goal of achieving more profitable applications.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".