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Record W2995101184 · doi:10.1021/acs.jpcc.9b09479

High-Density COH<i><sub>x</sub></i> Network Glass

2019· article· en· W2995101184 on OpenAlexaff
Young Jay Ryu, Choong-Shik Yoo, Jinhyuk Lim, Minseob Kim, John S. Tse

Bibliographic record

VenueThe Journal of Physical Chemistry C · 2019
Typearticle
Languageen
FieldMaterials Science
TopicGlass properties and applications
Canadian institutionsUniversity of Saskatchewan
FundersArmy Research OfficeDivision of Materials ResearchNational Nuclear Security AdministrationDefense Advanced Research Projects Agency
KeywordsMaterials science

Abstract

fetched live from OpenAlex

Polymeric solids made of simple “organic” hydrocarbons are primarily in one-dimensional (1D) chains and less frequently in 2D polymers like graphene. Research efforts aimed at development of 3D hydrocarbon polymers have resulted in low-density covalent–organic and metal–organic frameworks. However, the synthesis of dense hydrocarbon networks with high chemical energy density has not been achieved. Here, we present evidences of a new high-density (∼3.23 g/cm3), predominantly single-bonded transparent COHx (x < 2) network glass, synthesized by chemical reactions in dense solid mixtures of CO and H2 at 9–30 GPa and recovered at ambient conditions with long-term stability. This material constitutes a first made, dense 3D hydrocarbon polymer at a class of diamond and cubic-BN, which can be used for chemical energy storage and novel electro-optical materials.

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)0.000
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 score0.002
Threshold uncertainty score0.396

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.006
GPT teacher head0.199
Teacher spread0.193 · 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".

Quick stats

Citations4
Published2019
Admission routes1
Has abstractyes

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