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Record W4391785868 · doi:10.1021/acs.jpcc.3c07613

First-Principles Study of Adsorption of Actinide Complexes on Borophene

2024· article· en· W4391785868 on OpenAlexafffund
Payal Grover, Meagan S. Oakley, Georg Schreckenbach

Bibliographic record

VenueThe Journal of Physical Chemistry C · 2024
Typearticle
Languageen
FieldChemistry
TopicRadioactive element chemistry and processing
Canadian institutionsUniversity of Manitoba
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBoropheneActinideSiliceneNeptuniumAdsorptionGermanenePhase (matter)Materials scienceChemistryDensity functional theoryChemical physicsComputational chemistryPhysical chemistryInorganic chemistrySiliconOrganic chemistryMetallurgy

Abstract

fetched live from OpenAlex

Two- and three-dimensional materials can be used for the sensitive detection of adsorbates through charge-transfer mechanisms. Recently, a two-dimensional borophene material was synthesized in two distinct phases: line-defected planar and buckled. Here, we determine whether borophene can act as a competitive radioactive material sensor by using first-principles calculations to simulate the adsorption of actinide (uranium─U, neptunium─Np, and plutonium─Pu) complexes. Specific ligands are used (OH –, NO 3 –, CO 3 2– ) to generate model actinide complexes representing realistic environmental conditions. Various adsorption configurations are studied for each phase, and the corresponding adsorption energies, charge transfer, and electronic properties are reported. The calculated results reveal the presence of strong interactions due to the formation of a chemical bond between borophene and the oxo ligand of the adsorbate. Periodic trends are established, which indicate the strong affinity to Pu complexes in comparison to Np and U and that complexes containing carbonate bind more strongly overall. We find that the buckled phase engages in stronger adsorption than the planar phase; thus, in comparison to other 2D materials (silicene and germanene) and planar borophene, buckled borophene is a highly suitable candidate as a sensor for actinide complexes.

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 score0.005
Threshold uncertainty score0.488

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 head0.031
GPT teacher head0.294
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; 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

Citations6
Published2024
Admission routes2
Has abstractyes

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