Improved Charge Transfer and Barrier Lowering across a Au–MoS<sub>2</sub> Interface through Insertion of a Layered Ca<sub>2</sub>N Electride
Bibliographic record
Abstract
Despite immense promise, use of transition-metal dichalcogenides (TMDCs), such as MoS 2, in electronics applications is hindered by the difficulties in forming effective metal contacts with low resistance. In this work, we propose insertion of a two-dimensional (2D) electride [Ca 2 N] + (e – ) at a metal–TMDC interface to establish proper electrical contact. As a proof of concept, we consider the Au–MoS 2 interface due to the presence of a van der Waals gap, which leads to a high tunneling barrier and strong Fermi-level pinning. Density-functional theory calculations predict nearly complete charge transfer from the electride surface states, resulting in a cationic [Ca 2 N] + monolayer at the interface and metalization of the negatively doped MoS 2 . Thus, formation of the Au–Ca 2 N–MoS 2 heterostructure eliminates both the tunneling and Schottky barriers, indicating that inserting a single 2D electride layer at metal–TMDC interfaces is a viable strategy to achieve proper Ohmic contacts in device manufacture.
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".