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Record W4391662737 · doi:10.1149/ma2023-0291010mtgabs

Molten Carbonate Transformation of the Green House Gas CO<sub>2</sub> to Graphitic Nanomaterials

2023· article· en· W4391662737 on OpenAlexaboutno aff
Stuart Licht

Bibliographic record

VenueECS Meeting Abstracts · 2023
Typearticle
Languageen
FieldChemistry
TopicZeolite Catalysis and Synthesis
Canadian institutionsnot available
Fundersnot available
KeywordsNanomaterialsCarbonateTransformation (genetics)Chemical engineeringEnvironmental chemistryMaterials scienceChemistryNanotechnologyMetallurgyEngineering

Abstract

fetched live from OpenAlex

CO 2 is a highly stable molecule. This stability had been considered an insurmountable barrier to Its transformative removal from its role as a greenhouse case. The C2CNT ® (CO 2 To Carbon Nanomaterial Technology) process breaks through this barrier by using an energetic (high temperature), carbon rich (molten carbonate), transition metal nucleated environment, electrolytically splitting of CO 2 to graphitic carbon nanomaterials (and O 2 ). Built from the same fundamental graphene structure as graphite, which has a geologic lifetime, these nanocarbons can permanently bind the transformed CO 2 to mitigate global warming. Their value arises from the properties of graphene such as high strength and conductivity, solid lubrication, electronic and catalytic activity tuned by distinctive 0D, 1D and 2D morphologies. The value of these nano graphitic carbons arises from the unique properties of graphene such as exceptional strength, high conductivity, solid lubrication, electronic and catalytic activity as modified by their distinctive 0D, 1D and 2D shapes. These nanocarbons are useful in a range of applications in the carbon fiber, polymer, electronic, medical, transportation, steel, cement and power sectors. The C2CNT ® technology received the 2021 Carbon XPRIZE XFactor award for producing the most valuable product from CO 2 . and builds out the C2CNT technology into a Genesis Device ® CCUS (Carbon Capture, Utilization and Storage) plant. A Genesis Device ® CCUS demonstration plant has been built at the in Calgary, and a large-scale Genesis Device ® CCUS plant, the GC3 project, is scheduled in Edmonton, producing 7,500 tonnes of carbon nanotubes transforming the CO 2 emission at the Genessee power plant. Some of the 30 C2CNT ® related publications are presented at: https://carboncorp.org/climate-change-solution These publications include: “STEP generation of energetic molecules: A solar chemical process to end anthropogenic global warming” Licht , J. Phys. Chem, C, 113 , 16283, 2009. " Efficient Solar-Driven Synthesis, Carbon Capture, and Desalinization, STEP: Solar Thermal Electrochemical Production of Fuels, Metals, Bleach" Licht, Advanced Materials , 47 , 5592 (2011). The discovery of the electrochemical nucleated growth of graphitic nanocarbons in: "One-pot synthesis of carbon nanofibers from CO 2 ", Ren, Li, Lau, Urbina, Licht Nano Letters , 15, 6142, 2015. CO 2 isotopic tracking to the electrolytic splitting products: “Tracking airborne CO 2 mitigation and low cost transformation into valuable carbon nanotubes,” Ren, Licht, Scientific Reports, 6, 27760-1, 2016. "Carbon Nanotube Wools Made Directly from CO 2 By Molten Electrolysis: Value Driven Pathways to Carbon Dioxide Greenhouse Gas Mitigation," Materials Today Energy, Johnson, Ren, Lefler, Licht, Vicini, Liu, Licht, 5, 230,2017. “Recent Advances in Solar Thermal Electrochemical Process (STEP) for Carbon Neutral Products &amp; High Value Nanocarbons,” Ren, Yu, Peng, Lefler, Li, Licht, Accounts of Chemical Research , 52, 3177(2019). “Amplified CO 2 greenhouse gas removal with C2CNT carbon nanotube-material composites ” , Licht, Xinye, Licht, Wang, Swesi, Chan, Materials Today Sustainability , 6, 100023(2019 ). Wang, Sharif, Liu, Licht, Lefler, Licht, “Magnetic carbon nanotubes: Carbide nucleated electrochemical growth of ferromagnetic CNTs from CO 2 ,” Wang, Sharif, Liu, Licht, Lefler, Licht, Journal of CO2 Utilization , 40, 101282020. “The green synthesis of exceptional braided, helical carbon nanotubes and nanospiral platelets made directly from CO 2 ,” Liu, Licht, Licht, Materials Today Chemistry , 22 , 100529 (2021). Figure top: SEM of nanocarbon allotropes. Top row (from left to right): conical CNF, nano-bamboo, nano-pearl, Ni coated CNT, nano-flower, nano-dragon. Middle row: nano-rod, nano-belt, nano-onion, hollow nano-onion, and nano-tree. Bottom row carbon nanotube, nano-scaffold, nano-platelet, graphene, nano-helices. From: Control of the electrochemical conditions tuning C2CNT ® to selectively produce 17 unusual nanocarbons is described in: “Controlled Growth of Unusual Nanocarbon Allotropes by Molten Electrolysis of CO 2 ”, Liu, Licht, Wang, Licht, Catalysts , 12 , 125, 2022: Figure Bottom: TEM and HAADF of high purity, high yield carbon nanotubes synthesized by electrolytic splitting of CO 2 in 770°C Li 2 CO 3 . TEM; scale bars left to right top: 20 nm &amp; 1 nm. 2 nd row 100, 5, 5 &amp; 1 nm. 3rd row 100 or 50 nm. Bottom row 20, 1 &amp; 1 nm. From “Controlled Transition Metal Nucleated Growth of Carbon Nanotubes by Molten Electrolysis of CO 2 ”, Liu, Licht, Wang, Licht, Catalysts , 12 , 137, 2022: Figure 1

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
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 score0.050
Threshold uncertainty score0.598

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.015
GPT teacher head0.226
Teacher spread0.211 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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