Efficient and Stable Silicon-Based Solar Water Splitting Devices
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
Hydrogen production by solar water splitting has attracted considerable interests as a long-term energy storage system (ESS) to store intermittent solar energy to stable and reusable chemical fuels. While silicon is a promising material for photoelectrochemical (PEC) water splitting because of an earth-abundancy, low cost, and small bandgap, silicon has slow kinetics for hydrogen evolving reaction (HER). In addition, under conditions for oxygen evolution reaction, silicon easily forms an insulating SiO 2 or even corrodes. Therefore, new strategies are requires for stable and efficient silicon based PEC water splitting devices. In this talk, I’ll present our efforts to develop a silicon-based solar water splitting devices, leveraging the existing Si photovoltaic technology. Particularly, I’ll talk about nanoporous black Si to improve HER. In addition, I’ll present our novel device architecture to enhanced OER stability.
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 | 0.003 | 0.001 |
| 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