Bibliographic record
Abstract
"Chemical reactions induced or sustained by mechanical force (mechanochemistry) have attracted considerable interest as a means to achieve cleaner and ""greener"" solvent-free synthesis of molecules and materials. Such reactions also provide an opportunity to explore molecular recognition and self-assembly without the interfering effects of bulk solvents, such as solubility, complexation with solvent, or solvolysis.[1] This presentation will highlight our recent exploration of solvent-free chemistry as a means to understand the assembly, templating and the collapse of porous metal-organic structures. First, the recently developed methodology for real-time, in situ monitoring of mechanochemical reactions will be presented,[2] which uses highly penetrating synchrotron radiation to directly observe chemical and structural transformations during mechanical milling. By using this methodology it was possible, for the first time, to illuminate the mechanisms of metal-organic framework formation by milling, and observe new, fleeting intermediate phases. The second part of the presentation will focus on 'accelerated aging"", a simple, diffusion-controlled and catalytically-accelerated methodology for the transformation of inert metal oxides into metal-organic architectures under the conditions mimicking those of geological mineral ""weathering"".[3] This solvent-free and low-energy technique provides reactant generality not yet demonstrated in mechanosynthesis, and allows the transformations of diverse transition, main group and lanthanide metal oxides, into 2- and 3-dimensional metal-organic architectures. The applications of accelerated aging in the clean synthesis of metal-organic frameworks and low-energy, solvent-free mineral separation will be discussed."
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) | 0.006 | 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".