Pseudocapacitive batteries: Methods of activating quantized capacitance energy storage mechanism
Bibliographic record
Abstract
The invention embodies a method to incorporate nanoparticles in an energy storage device, more specifically batteries and supercapacitors, to enable quantized capacitance energy storage mechanism. It operates on the principle of quantization in nanoscale, also referred to as the solvated Coulomb blockade mechanism, rather than the classical intercalation mechanism, allowing greater electron storage potential within the nanoparticles relative to classical energy storage devices. This enables pseudocapacitive battery to theoretically store as much energy as lithium-ion batteries while all its other properties resemble ultracapacitors, including the theoretical ability to have long cycle life and can be charged and discharged at very high rates, a significant departure from lithium-ion battery technology which are well known to have long charging times. This invention also enables electrochemical storage devices to be designed with sustainable materials (e.g., carbon), transitioning from the heavy reliance on precious metals (e.g., lithium, manganese, cobalt, and nickel).
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".