Mesostructured MTES-Derived Silica Thin Film with Spherical Voids Investigated by TEM: 2. Dislocations and Strain Relaxation
Bibliographic record
Abstract
A mesostructured silica thin film with nanosized voids arranged in a body-centered cubic (bcc) array with a slight distortion was studied by transmission electron microscopy (TEM) for line defects. This film was engineered by a preferential solvent evaporation-induced sol−gel and self-assembly process and subsequent pyrolysis to remove its structure-directing agent. Methyl triethoxysilane [MTES, Si(OCH 2 CH 3 ) 3 CH 3 ] was the silica precursor. Two types of dislocations were observed from a cross-sectional TEM sample of this non-free-standing film on a Si(001) substrate. One is an edge dislocation; the other is a dislocation dipole. The edge dislocation, with its Burgers vector b = a [010] and dislocation line direction ξ = [100], was formed by the reaction of two regular dislocations: b = b 1 + b 2, while b 1 = ( a /2)[1,1,−1] and b 2 = ( a /2)[−1,1,1]. The origin of this edge dislocation is related to the tensile strain developed in the film because of film shrinkage during the fabrication; its development is argued to arise from the partial relief of developed strain. A new concept, namely, critical mesostructure thickness for the occurrence of the stress relaxation, is proposed and computed using an elastic strain energy argument. The possible factors for the termination site of the edge dislocation are discussed briefly. The dislocation dipole has the Burgers vectors b = ±( a /2)[−1,1,1] on a (0,1,−1) plane.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".