Waste-to-Wealth: Wheat-Based Porous Electrodes for Electrochemical Energy Storage Devices
Bibliographic record
Abstract
Energy production/storage as one of the world’s leading issues has been widely studied. This significant problem can be solved by using disposable/low-cost biomass materials. Electrochemical energy storage (EES) devices including supercapacitors, rechargeable batteries, and hybrid EES devices have been extensively developed in recent years. The EES devices have been recognized as a proper answer to the energy storage problem in the world. Numerous studies have been accomplished to develop biomass-based and biochar-based EES devices to decrease environmental pollution and production costs. The most important part of the EES devices are electrodes including the cathode and anode. According to recent studies, biochar-based electrodes have considerable electrochemical properties. Wheat is one of the most important parts of the human diet. The wheat wastes have amazing electrochemical properties to be used as a precursor of electrochemical energy storage (EES) electrodes including supercapacitors, batteries, and hybrid EES devices. The benign/low-cost wheat wastes especially wheat straw and wheat husk have been used to fabricate wheat-based biochar materials. The electrochemical properties of the wheat-based biochar electrodes (cathode and anode) in the EES devices have determined that these benign/low-cost EES electrodes reduce production costs and obtain acceptable electrochemical performance and environmentally friendly procedures.
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 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) | 0.000 | 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 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".