Advanced Support Materials and Interactions for Atomically Dispersed Noble‐Metal Catalysts: From Support Effects to Design Strategies
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
Abstract Indisputably, noble‐metal single atom catalysts (SACs) are one of the most popular research topics in the field of catalysis because of their low cost, ultrahigh atomic utilization, and distinctive performance for a wide variety of catalytic reactions. Support materials play a vital role in the preparation and catalytic performance of noble‐metal SACs. Thus, diverse support materials have been developed very rapidly and elaborately designed in the last few years. In this review, the support effects in noble‐metal SACs are first systematically introduced, including anchoring effects, strong metal–support interactions, and synergistic catalysis effects. Moreover, the most recent advances in support materials are classified and discussed in detail with a focus on their anchoring mechanism. Importantly, design strategies for advanced supports are summarized for guiding the development and utilization of advanced support materials. To conclude possible future research directions for support materials are put forward to help overcome the current issues facing noble‐metal SACs.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it