Light Intensity‐Controlled Photoconductance Polarity Switching for Neuromorphic and Logic Applications
Bibliographic record
Abstract
Abstract 2D transition metal dichalcogenide (TMD) semiconductors and their heterostructures are widely studied for their positive photoconductance properties. Recent studies further explore the reversible modulation between positive photoconductance (PPC) and negative photoconductance (NPC), enabling applications in high‐precision image recognition and bidirectional reconfigurable logic gates. However, the reversible photoconductance switching effect is commonly induced by different light wavelengths or gate voltages, which require multiple light sources or additional electronic components. Here, a photoconductance polarity switching effect is reported, induced by light intensity and duration in geometrically asymmetric p ‐type MoSe 2 devices. This effect arises from the asymmetric modulation of Schottky barrier heights due to the accumulation of photogenerated electrons at the MoSe 2 /Cr interfaces. Additionally, a photosynaptic effect is observed, likely caused by the trapping/de‐trapping of photogenerated carriers within the MoSe 2 crystal. Finally, a new type of reconfigurable logic gate with “OR” and “AND” functions is demonstrated in a single MoSe 2 device in which the light intensity and light‐on duration from a single light source are the logic gate inputs, and the polarity of the output current determines the logic gate output.
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) | 0.002 | 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".