Electricity Generation from Bamboo Nanoparticles Processed by High Energy Milling without Thermal Treatment Mixed with NaOH
Bibliographic record
Abstract
The purpose of this research is to utilize bamboo as an energy-harvesting material.Energy harvesters are produced from nanomaterial-sized bamboo.This research aims to make bamboo nanomaterials with a high-energy milling process without heat treatment as a producer of electrical energy.Bamboo nanomaterials contain a chemical composition of C, O, Si, and K with a more positive electrical charge.The addition of NaOH negatively charges the electrolyte solution due to the presence of OH-.The concentration of NaOH specifies the production of electricity because the energy gap decreases from 0.48 eV to 0.39 eV.During the electricity generation process, some of the Al electrodes dissolve into the electrolyte and form a more regular crystal structure so that the energy gap decreases further to 0.28 eV, which has a stronger electricity generation capacity.The electrical voltage produced in the battery cell is around 768 mV.
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".