‘Tug of war’ between competing phases in Li-rich cathodes revealed by analytical electron microscopy
Bibliographic record
Abstract
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.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".