Life‐Cycle Assessment of Ti<sub>3</sub>C<sub>2</sub>T<i><sub>x</sub></i> MXene Synthesis
Bibliographic record
Abstract
Abstract MXenes, 2D transition metal carbides, nitrides, and carbonitrides, have been investigated for diverse applications since their discovery; however, their life‐cycle assessment (LCA) has not been studied. Here, a “cradle to gate” LCA is performed to assess the cumulative energy demand (CED) and environmental impacts of lab‐scale synthesis of Ti 3 C 2 T x , the most researched MXene composition. Electromagnetic interface (EMI) shielding is selected as it is one of MXenes' most promising applications and LCA of Ti 3 C 2 T x synthesis is compared to aluminum and copper foils, two typical EMI‐shielding materials. Two laboratory‐scale MXene synthesis systems—gram and kilogram batches—are examined. The CED and environmental implications of Ti 3 C 2 T x synthesis are investigated based on its precursor production, selective etching, delamination processes, laboratory location, energy mix, and raw material type. These results show that laboratory electricity usage for the synthesis processes accounts for >70% of the environmental impacts. Manufacturing 1.0 kg of industrial‐scale aluminum and copper foil releases 23.0 kg and 8.75 kg of CO 2 , respectively, while 1.0 kg of lab‐scale MXene synthesis releases 428.10 kg. Chemical usage is less impactful than electricity, which suggests that recycled resources and renewable energy can make MXene synthesis more sustainable. Understanding MXene LCA helps the industrialization of this material.
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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".