MétaCan
Menu
← Retour à la cohorte
Enregistrement W4412655913 · doi:10.1093/nsr/nwaf288

‘Tug of war’ between competing phases in Li-rich cathodes revealed by analytical electron microscopy

2025· article· en· W4412655913 sur OpenAlexfundno aff
Shiyuan Zhou, Yuzi Liu, Khalil Amine, Gui‐Liang Xu

Notice bibliographique

RevueNational Science Review · 2025
Typearticle
Langueen
DomaineEngineering
ThématiqueAdvancements in Battery Materials
Établissements canadiensnon disponible
Organismes subventionnairesArgonne National LaboratoryOffice of ScienceUniversity of ChicagoCanada Excellence Research Chairs, Government of CanadaU.S. Department of Energy
Mots-clésElectron microscopeCathodeElectronMaterials scienceTug of warAnalytical Chemistry (journal)ChemistryPhysicsOpticsNuclear physicsChromatographyPhysical chemistryQuantum mechanics

Résumé

récupéré en direct d'OpenAlex

Lithium-rich manganese-based oxides (LRMOs) have long been regarded as promising cathode materials for next-generation high-energy lithium-ion batteries (LIBs) [1–3]. Manganese, owing to its high natural abundance and low cost compared with nickel, presents a sustainable alternative for large-scale energy storage. LRMOs harness both cationic redox (from transition metals) and anionic redox (from lattice oxygen), enabling high capacities approaching 300 mA h g–1 at high operating voltages (>4.5 V vs. Li+/Li) [4,5]. As a result, LRMOs are positioned to bridge the energy-density gap between conventional LIBs—such as Ni-rich layered oxide cathodes, typically limited to ∼220 mA h g–1—and future high-capacity systems such as lithium sulphur and lithium oxygen batteries, which face critical challenges related to insulating discharge products and intermediate shuttling effects. Despite extensive efforts in surface engineering and electrolyte optimization, the intrinsic structure property of LRMOs remains unresolved. A main debate persists over whether these materials form a chemically mixed one-phase solid solution (e.g. Li1+xNiyCozMn1–x–y–zO2) or consist of a nanoscale two-phase mixture comprising monoclinic Li2MnO3 and layered LiMO2 (M represents transition metals, such as Ni, Mn and Co) [6–9]. This uncertainty significantly impedes the rational design of LRMOs for stable cycling and high-rate performance. Precisely determining the underlying structure of LRMOs remains a significant challenge. Structurally, these materials are highly sensitive to various synthesis parameters—such as chemical composition, sintering temperature and cooling rate—all of which can determine whether a one-phase solid solution or a two-phase coexistence emerges. From the characterization part, powder X-ray diffraction (XRD) and neutron diffraction are commonly used to index different phases. Aberration-corrected scanning transmission electron microscopy (STEM) can offer atomic-scale insights into local structures. However, both approaches face critical limitations in resolving phase distinctions. First, the structural similarity between monoclinic (C2/m) and rhombohedral (R|${\rm{\bar{3}}}$|m) phases leads to overlapping diffraction patterns. For example, LRMOs have been indexed to both phases, with differentiation relying on subtle features such as superlattice reflections between 20° and 30° of the monoclinic phase (C2/m) [8]. Second, structural heterogeneity—both interparticle and intraparticle—adds complexity. STEM analyses are conducted at localized sites, making it difficult to distinguish the phase coexistence within individual particles, let alone the similar lattice contrast of different phases. As a result, it remains unclear whether the diversity in reported structures reflects intrinsic differences induced by synthesis conditions or artefacts arising from the characterization methods. Moreover, the presence of overlapping lattice modulations, stacking faults and slight orientation variations further obscures the distinction between true phase separation and a modulated solid solution. These factors together contribute to the ongoing ‘tug of war’ over the precise phase identity in LRMOs (Fig. 1). ‘Tug of war’ between different structures in LRMOs. The schematic illustrates the competing structural models of LRMOs—solid-solution (Li1+xNiyCozMn1–x–y–zO2) versus chemically separated two-phase (CSTP, Li2MnO3 and LiMO2)—and the analytical techniques used to resolve their distinction. On the left, HR-STEM, Ni mapping and uniform electron energy loss spectroscopy white-line and oxygen pre-peak ratios support a solid-solution structure. On the right, clear phase boundaries between C2/m and R|${\rm{\bar{3}}}$|m domains, revealed by using atomic-resolution imaging and Ni segregation, correspond to a CSTP structure. Figures were reproduced from [10] with permission. The formation of two distinct phases—LiMO2 and Li2MnO3—is highly sensitive to synthetic conditions, such as temperature-dependent phase transition. However, accurately identifying and distinguishing these phases remain challenging, especially in resolving structures across different length scales and spatial depths, from the bulk to the surface. The recent work by Su and co-workers provides valuable new insight by systematically tracing the thermal evolution of Li1.2Ni0.2Mn0.6O2 by using a comprehensive set of techniques that span atomic to bulk scales [10]. By combining in situ heating XRD, high-resolution STEM, atomic-resolved energy-dispersive X-ray spectroscopy, analytical electron energy loss spectroscopy and thermodynamic modelling, they revealed a temperature-dependent structural transformation. Specifically, it was found that the nanosized phases transition into a solid-solution structure (C2/m) when the temperature was increased from 550°C to 800°C, and further grew larger up to 850°C. However, annealing at 900°C induces a pronounced transition into a chemically separated two-phase (CSTP) structure composed of Li2MnO3 (C2/m) and LiNi0.5Mn0.5O2 (R|${\rm{\bar{3}}}$|m). The CSTP structure exhibits clear compositional separation and coherent crystallographic interfaces, as visualized by using analytical STEM. This phase segregation is thermodynamically driven, facilitated by Ni2+ migration and oxygen vacancy formation at elevated temperatures. Importantly, the emergence of the CSTP structure correlates with degraded electrochemical performance compared with the solid-solution counterpart, implying the trade-offs introduced by high-temperature phase segregation. This finding emphasizes the importance of controlled synthesis conditions to avoid undesirable phase separation and to preserve the reversible redox behaviour. This study establishes a valuable framework for understanding and controlling phase evolution in LRMOs cathodes. The identification of temperature-triggered CSTP formation stresses the necessity for precise synthetic tuning to stabilize the desired structure. Looking forward, extending this approach to investigate phase-dependent electrochemical reaction mechanisms under operating conditions could yield deeper insights into the interplay between oxygen redox activity, ion migration and structural stability. By bridging long-standing structural ambiguities, this work represents a significant step toward the rational design of high-capacity, high-stability LRMOs cathode materials. Argonne National Laboratory is operated for the DOE Office of Science by UChicago Argonne, LLC, under contract number DE-AC02–06CH11357. Conflict of interest statement. None declared.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,001
Score d'incertitude au seuil0,004

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0010,001
Science ouverte0,0000,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,022
Tête enseignante GPT0,390
Écart entre enseignants0,368 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentnon

Explorer davantage

Même revueNational Science Review→Même sujetAdvancements in Battery Materials→Travaux en français237 207→