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Record W2338221056 · doi:10.1021/acs.iecr.5b03217

Extended X-ray Absorption Fine Structure and Density Functional Theory Studies on the Complexation Mechanism of Amidoximate Ligand to Uranyl Carbonate

2015· article· en· W2338221056 on OpenAlexaff
Linjuan Zhang, Jing Su, Shitong Yang, Xiao-Jing Guo, Yunpeng Jia, Ning Chen, Jing Zhou, Shuo Zhang, Shuao Wang, Jiong Li, Jingye Li, Guozhong Wu, Jian‐Qiang Wang

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2015
Typearticle
Languageen
FieldChemistry
TopicRadioactive element chemistry and processing
Canadian institutionsCanadian Light Source (Canada)
FundersMinistry of Science and Technology of the People's Republic of ChinaChinese Academy of SciencesNational Natural Science Foundation of China
KeywordsUranylChemistryDensity functional theoryUraniumExtraction (chemistry)Ligand (biochemistry)Absorption (acoustics)Extended X-ray absorption fine structureCarbonateAdsorptionAbsorption edgeCationic polymerizationActinideInorganic chemistryCrystallographyAbsorption spectroscopyPhysical chemistryComputational chemistryMaterials scienceOrganic chemistryPhysicsIon

Abstract

fetched live from OpenAlex

To shed some light on the uranium extraction mechanism of amidoximate (AO) ligands from uranyl carbonate solution, we present experimental data taken using extended X-ray absorption fine structure at the U L 3 edge and theoretical calculation results. The EXAFS data were well simulated and confessedly shows that AO ligands directly substitute the CO 3 2– group in the equatorial plane to form a stable [UO 2 (CO 3 ) 3- x (AO) x ] (4- x )– complex. Density functional theory calculation indicates that although they have a slightly weaker electrostatic attraction than CO 3 2– ligands, AO ligands display stronger binding capability to uranyl because of the remarkable orbital hybridization between U 5f/6d and (N,O)2p in the uranyl–AO complex. This finding provides strong evidence supporting the substitutional mechanism, which implies that cationic adsorbents are preferred in the further design of higher efficient adsorbents, and furthermore highlights the crucial role of the covalent effect in the extraction process.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.153
GPT teacher head0.334
Teacher spread0.181 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations60
Published2015
Admission routes1
Has abstractyes

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