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Record W4385550009 · doi:10.1002/adma.202370217

Life‐Cycle Assessment of Ti<sub>3</sub>C<sub>2</sub>T<i><sub>x</sub></i> MXene Synthesis (Adv. Mater. 31/2023)

2023· article· en· W4385550009 on OpenAlexaff
Mostafa Dadashi Firouzjaei, Srinivasa Kartik Nemani, Mohtada Sadrzadeh, Evan K. Wujcik, Mark Ellıott, Babak Anasori

Bibliographic record

VenueAdvanced Materials · 2023
Typearticle
Languageen
FieldMaterials Science
TopicMXene and MAX Phase Materials
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsLife-cycle assessmentMaterials scienceIndustrialisationElectromagnetic shieldingEnergy demandInterface (matter)NanotechnologyComposite materialNatural resource economicsProduction (economics)Political science

Abstract

fetched live from OpenAlex

MXene In article number 2300422, Mostafa Dadashi Firouzjaei, Mark Elliott, Babak Ansori, and co-workers study the life-cycle assessment of the Ti3C2Tx MXene's synthesis. The cumulative energy demand and overall environmental impacts of synthesis for electromagnetic interface shielding applications are investigated. In addition, the environmental impacts and energy demand of each primary parameter playing a role in the synthesis of MXene are quantified. This study will aid in the industrialization of MXene.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.004

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.

Opus teacher head0.015
GPT teacher head0.276
Teacher spread0.262 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2023
Admission routes1
Has abstractyes

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