Additively Manufactured Diamond for Energy Scavenging and Wireless Power Transfer in Implantable Devices
Bibliographic record
Abstract
Abstract Additive manufacturing is revolutionizing personalized medicine by enabling prostheses and implantable devices that better match the body's geometric constraints. This approach has primarily been used for mechanical implants, such as orthopaedic prostheses. Despite its clear benefits, additive manufacturing has not been used in microelectronic implants. This work introduces an additively manufactured diamond‐titanium hybrid as a material for the construction of electronically active implantable devices. Wireless power transfer using inductive and capacitive coupling is demonstrated and used to induce localized tissue heating as well as to power up an light emitting diode (LED). At the macroscale, the diamond‐titanium hybrid fulfils the requirements of traditional metallic biomaterials. At the nanoscale, the unique attributes of the hybrid material are used to demonstrate energy scavenging from the physiological flow of saline solution and its use for wireless flow sensing. In addition to fulfilling the structural role, additively manufactured diamond is a candidate material for use as part of microelectronic implants.
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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 | 0.000 |
| 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".