Environmentally-Friendly Designs and Syntheses of Metal-Organic Frameworks (MOFs)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Over the past 15 years, the area of metal-organic frameworks (MOFs) has been the subject of intense efforts in research and development, both on the laboratory and on the industrial scale. Such persistent interest, fueled largely by the desire to develop new functional materials for storage of fuel gases (e.g. hydrocarbons, hydrogen) has led to MOFs being recognized as enabling materials for a number of technologies. Such rising importance of MOFs, accompanied by their recent commercialization, has begun to highlight previously unknown challenges associated with safe, environmentally-friendly synthesis of metal-organic materials on a large scale. These challenges have recently been summarized in a set of evaluative criteria for industrial MOF synthesis, which kindle the need to develop clean and sustainable methods of their manufacture. However, in contrast to organic synthesis, concepts of green and sustainable chemistry have been slow to adopt in inorganic synthesis. This lack of suitable "green" and industrially acceptable synthetic concepts can now be recognized as an outstanding challenge in the MOF area. Focusing on MOF synthesis, we now highlight three recent experimental developments which advance sustainable and environmentally-friendly synthesis with respect to the reaction environment, reactant choice and the synthetic design: (1) using (near) supercritical water as the reaction medium, (2) using biocompatible building blocks and (3) direct conversion of metal oxides into MOFs. These developments signal an important and necessary shift of green inorganic chemistry from designing "green" materials to conducting syntheses mindful of sustainability and environmental impact. In the context of recently established criteria for MOF manufacture these developments also serve to illustrate how embracing aspects of green chemistry and sustainability can be compatible with the requirements of industrial production.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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 it