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Record W4415924834 · doi:10.1103/v5g3-vthm

Relativistic effects on the ground state of positronic lithium

2025· article· en· W4415924834 on OpenAlexafffund
D.-X. Zhao, M.-S. Wu, Jun-Yi Zhang, Kedong Wang, Liming Wang, Zhiwei Yan

Bibliographic record

VenuePhysical review. A/Physical review, A · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAtomic and Molecular Physics
Canadian institutionsUniversity of New Brunswick
FundersNatural Sciences and Engineering Research Council of CanadaAlliance de recherche numérique du CanadaYouth Science Foundation of Henan Normal UniversityNatural Science Foundation of Henan ProvinceNatural Science Foundation of Hainan ProvinceNational Natural Science Foundation of China
KeywordsAnnihilationLithium (medication)Relativistic quantum chemistryBinding energyGround stateBound statePositron

Abstract

fetched live from OpenAlex

Positronic lithium, the first theoretically predicted positronic atom, has yet to be observed experimentally due to its weakly bound nature and short lifetime. Consequently, studies of its structural and annihilation properties can provide valuable guidance for future experimental efforts. In this work, we investigate the relativistic effects on positron binding to atomic lithium by evaluating the expectation values of relativistic operators. Our calculations show that while the total relativistic correction of positronic lithium is comparable in magnitude to the binding energy, the corrections for the bound and dissociated states are nearly identical and largely cancel each other, resulting in only a minor effect on the binding energy. Specifically, the inclusion of relativistic corrections alters the binding energy of positronic lithium and its isotopes by less than 0.13% for spin-triplet states and 0.04% for spin-singlet states. We also calculate the annihilation rates and lifetimes for both spin-triplet and spin-singlet states of positronic lithium.

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)0.001
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.007
GPT teacher head0.327
Teacher spread0.320 · 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

Citations1
Published2025
Admission routes2
Has abstractyes

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