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Record W4411932121 · doi:10.1002/ange.202508422

Nuclear Quantum Confinement Enables Robust Deuterium Bonds for Highly Reversible Aluminum Anodes

2025· article· en· W4411932121 on OpenAlexaff
Hao Cheng, Yao Lu, Zheng Li, Zibo Chen, Chao Chen, Xinyi Li, Hailin Yu, Adham Hashibon, Zhongliang Tian, Guanjie He

Bibliographic record

VenueAngewandte Chemie · 2025
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicChemical Reactions and Isotopes
Canadian institutionsDiscovery Centre
FundersNational Natural Science Foundation of China
KeywordsDeuteriumAluminiumMaterials scienceChemistryChemical physicsAtomic physicsPhysicsOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract The hydrogen evolution reaction (HER) fundamentally limits aluminum electroreduction in aqueous electrolytes by dominating interfacial charge transfer. Here, we suppress HER by engineering deuterium bonds (D‐bonds) through nuclear quantum effects, confining D between D₂O and DMF molecules. This quantum confinement weakens hydrogen delocalization and restructures the Al 3+ solvation sheath, reducing water activity kinetically and thermodynamically. The regulated electrolyte enables uniform aluminum nucleation and dense plating layers, achieving 569 h (0.05 mA cm −2 ) and 379 h (0.1 mA cm −2 ) cycling stability in the 2D 2 O/1DMF electrolyte, which outperforms traditional sulfate electrolytes by 3.6 and 6.1 times, respectively. Our work uniquely leverages nuclear quantum confinement to engineer robust D‐bonds, simultaneously suppressing HER and enabling atomic‐level control over aluminum ion solvation structures for unprecedented Al redox reversibility in sulfate electrolytes. This exemplification pushes the electrolyte engineering from extensive component adjustment to quantum precision engineering, which provides an innovative solution for the high‐activity water‐based battery system

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 categoriesInsufficient payload (model declined to judge)
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 score0.180
Threshold uncertainty score1.000

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)0.0010.000

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 head0.084
GPT teacher head0.375
Teacher spread0.291 · 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.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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