Research Digest — 2026-07-05¶
Dendrite Growth & Mechanics¶
1. Mechanically driven Li dendrite penetration in garnet solid electrolyte¶
Source: Nature (s41586-026-10415-9) · 📅 2026-06-30 · ↗ Open paper
Using cryogenic electron microscopy and micromechanical fracture modelling, this Nature paper resolves the long-standing debate on Li dendrite penetration mechanisms in LLZTO garnet electrolytes. The authors find both intergranular and transgranular fracture at the dendrite tip with Li fully filling nanoscale cracks, but no isolated Li nuclei ahead of the tip — ruling out the electron-leakage mechanism. Lattice rotation measurements show a nearly hydrostatic stress state inside dendrites, confirming mechanically driven penetration. The authors propose engineered voids in LLZTO to redirect dendrite propagation.
Relevance to DENG.Group
Directly relevant to Shoutong Jin's phase field dendrite work. The cryo-STEM observations of intergranular vs transgranular fracture provide critical validation data for phase field models. The proposed void-engineering strategy is something Shoutong could simulate. The hydrostatic stress finding constrains the mechanical boundary conditions in dendrite models.
2. Numerical simulation of key factors affecting dendrite growth in solid-state electrolyte batteries under multi-physical coupling fields¶
Source: Journal of Energy Storage (S2352152X25040770) · 📅 2026-06-20 · ↗ Open paper
A multiphysics numerical simulation study examining how coupled mechanical, electrochemical, and thermal fields jointly control dendrite growth in solid electrolytes. The work systematically varies key parameters (current density, stack pressure, temperature, interfacial defects) and maps their individual and coupled effects on dendrite propagation kinetics. Provides a comprehensive parameter sensitivity analysis relevant to dendrite suppression strategies.
Relevance to DENG.Group
Complements Shoutong Jin's phase field simulations with a multiphysics coupling framework. The parameter sensitivity analysis can guide which boundary conditions matter most in Deng group dendrite models. The coupled electrochemical-mechanical framework aligns with the group's interest in realistic dendrite modeling.
3. Rethinking dendrite growth in solid electrolytes¶
Source: OAE Publishing - Energy Materials (energyz.2026.22) · 📅 2026-06-15 · ↗ Open paper
A perspective that reexamines dendrite growth in solid electrolytes as primarily a fracture process rather than an electrochemical deposition problem. The authors argue that Li plating generates stress at flaws until local stress intensity exceeds the fracture toughness, propagating cracks that Li then fills. This mechanics-first viewpoint has implications for how dendrite suppression should be approached — focusing on mechanical properties rather than just electrochemical stability.
Relevance to DENG.Group
Provides theoretical framing for Shoutong Jin's work and aligns with the Nature paper above on mechanically driven penetration. The fracture-mechanics-first perspective could reframe how the Deng group approaches dendrite modeling — fracture toughness and flaw distribution may be more important inputs than electrochemical parameters.
ML Interatomic Potentials¶
4. Performance-Based Selection of Machine Learning Interatomic Potentials for Solid-State Electrolyte Screening¶
Source: Chemistry of Materials (acs.chemmater.5c02352) · 📅 2026-06-25 · ↗ Open paper
A systematic benchmark study evaluating multiple MLIP architectures (CHGNet, MACE, NequIP, Allegro, etc.) for high-throughput prediction of solid-state electrolyte properties including ionic conductivity, stability, and elastic constants. The work proposes a performance-based selection protocol that accounts for accuracy, computational cost, and transferability across different SSE chemistries (oxides, sulfides, halides).
Relevance to DENG.Group
Core relevance to Yanhao Deng's MLIP work. The benchmarking protocol and architecture comparison directly inform which MLIPs the group should use for different applications. The transferability assessment across SSE chemistries is critical for the group's halide and sulfide electrolyte work. The proposed selection framework could become a standard tool in the group's computational workflow.
5. Machine learning interatomic potential enables interface-level insights into cathode/solid electrolyte adhesion in sodium-ion batteries¶
Source: Journal of Energy Storage (S2352152X26007681) · 📅 2026-06-20 · ↗ Open paper
An MLIP-based study that directly probes cathode/solid electrolyte adhesion in sodium-ion batteries at the atomic scale. The authors train and validate an MLIP specifically for the cathode-electrolyte interface, then use large-scale molecular dynamics to compute adhesion energies, interfacial structure evolution, and mechanical stability of the interface under various conditions.
Relevance to DENG.Group
Highly relevant to Umang Agarwal's heterogeneous interface work and Yanhao Deng's MLIP development. The interface-specific MLIP training approach is directly applicable to the group's Li/electrolyte and cathode/electrolyte interface studies. The adhesion energy computation methodology could be adopted for Deng group's sulfide and halide electrolyte systems.
6. Experimental Validation of Universal Machine Learning Interatomic Potentials for Materials Discovery¶
Source: ChemRxiv (chemrxiv.15002480) · 📅 2026-06-28 · ↗ Open paper
This preprint provides experimental validation of universal MLIPs (uMLIPs) like MACE-MP, CHGNet, and SevenNet against laboratory measurements for a diverse set of energy materials. The authors establish computational pipelines powered by uMLIPs for screening large chemical spaces and validate predictions against XRD, impedance spectroscopy, and electrochemical measurements. The work assesses where uMLIPs succeed and where they fail for battery-relevant chemistries.
Relevance to DENG.Group
Important reference for Yanhao Deng's work — the experimental validation of uMLIPs provides confidence bounds on when off-the-shelf potentials are sufficient vs. when fine-tuning is needed. The failure modes identified should guide the group's MLIP training strategy. The screening pipeline could be adapted for the group's halide electrolyte discovery efforts.
Halide Electrolytes¶
7. From powder to product: a perspective on halide electrolytes for commercial lithium solid-state batteries¶
Source: Tungsten (s42864-026-00378-9) · 📅 2026-06-30 · ↗ Open paper
A comprehensive perspective on halide solid electrolytes covering structure-property relationships across trigonal, spinel, and oxyhalide frameworks. Examines aliovalent doping, mixed-anion strategies, and Earth-abundant chemistries. Discusses scalable synthesis pathways from mechanochemical milling to melt processing, with trade-offs in cost and phase purity. Provides integration strategies for composite electrodes and full-cell architectures relevant to commercialization, with a comparative analysis against sulfide and oxide systems.
Relevance to DENG.Group
Directly relevant to Yan Li and Mengke Li's halide electrolyte research. The structure-property relationships and doping strategies provide design rules for their simulation work. The commercialization roadmap contextualizes the group's fundamental studies within practical manufacturing constraints. The comparison with sulfide/oxide systems helps position the group's halide work in the broader SSE landscape.
8. Challenges of the infiltration method for halide-based solid-state batteries¶
Source: Nature Scientific Reports (s41598-026-47289-w) · 📅 2026-06-22 · ↗ Open paper
This study examines the infiltration method for fabricating halide-based solid-state batteries, a promising scalable manufacturing approach. The authors identify key challenges including incomplete pore filling, interfacial reactions during infiltration, and phase segregation in composite electrodes. Systematic characterization reveals how processing parameters affect microstructure and electrochemical performance.
Relevance to DENG.Group
Relevant to Yan Li and Mengke Li's halide electrolyte work — understanding processing-structure-property relationships is critical for translating simulation predictions to real devices. The infiltration method challenges highlight microstructural effects (pore distribution, phase connectivity) that should be incorporated in mesoscale models of halide electrolyte transport.
9. Advanced solid electrolytes break world record for ionic conductivity¶
Source: University of Maryland Engineering News · 📅 2026-06-15 · ↗ Open paper
A new approach to optimize halide solid electrolytes has achieved record-breaking ionic conductivity levels, surpassing liquid electrolytes for the first time. The UMD team used a combination of aliovalent doping and structural engineering to enhance Li-ion mobility in the halide framework. The material demonstrates both high conductivity and wide electrochemical stability, addressing two key barriers for solid-state batteries simultaneously.
Relevance to DENG.Group
Important benchmark for Yan Li and Mengke Li's halide electrolyte simulations — the record conductivity sets a target for computational predictions and provides experimental validation data. The doping strategy could be explored computationally by the group to understand the atomistic mechanism behind the enhanced conductivity.
Solid Electrolyte Interfaces & Reviews¶
10. Modeling and simulation approaches for solid-state battery interfaces¶
Source: Dalton Transactions (d5dt02804c) · 📅 2026-06-20 · ↗ Open paper
A comprehensive review of computational methods for studying solid-state battery interfaces, covering electronic structure methods, MLIP-based MD, phase field, and continuum approaches. The review systematically compares how different methods handle structural, chemical, and electrochemical phenomena at interfaces, and identifies gaps in current modeling capabilities for interfacial degradation, charge transfer, and mechanical coupling.
Relevance to DENG.Group
Essential reference for the entire Deng group. The methodological landscape overview helps position the group's computational approaches (MLIP-MD, phase field, DFT) within the broader literature. The identified capability gaps could inspire new research directions, particularly for Umang Agarwal's interface work and Cheng Peng's grain boundary studies.
11. Recent advances and remaining challenges of solid-state electrolytes (Comprehensive Review)¶
Source: Current Opinion in Solid State & Materials Science (S0079642525001379) · 📅 2026-06-15 · ↗ Open paper
A systematic review bridging advancements in solid-state electrolyte materials (oxides, sulfides, halides, polymers) with the persistent challenges preventing commercial deployment. The review analyzes structure-property relationships across SSE classes, examines interface engineering strategies, and identifies the most promising pathways for achieving practical all-solid-state batteries. Particular attention is paid to manufacturing scalability and cost considerations.
Relevance to DENG.Group
Broad reference useful for the entire group's literature awareness. The cross-class comparison (oxide vs sulfide vs halide vs polymer) helps validate the group's multi-material research strategy. The identified challenges should inform grant proposals and research direction discussions.
12. 2026 Roadmap on Next-Generation Solid Electrolytes for Battery Applications¶
Source: Materials Futures (10.1088/2752-5724/ae5120) · 📅 2026-06-10 · ↗ Open paper
A community roadmap outlining future directions in solid electrolyte research, including redox-active SEs that blur the boundary between electrolyte and electrode materials. Covers emerging concepts: dynamic stability windows, multi-ion conductors, and data-driven materials discovery. The roadmap identifies key scientific challenges and research priorities for the next 5 years across oxide, sulfide, halide, and polymer electrolyte families.
Relevance to DENG.Group
Strategic reference for Jerry's research planning and group direction. The roadmap can inform tenure-track milestone planning and help position the group's research portfolio. The redox-active SE concept is particularly novel and could inspire new project ideas at the intersection of Yanhao's MLIP work and the halide electrolyte program.
Grain Boundaries & Ion Transport¶
13. Accelerating ion transport in polycrystalline conductors: On pores and grain boundaries¶
Source: Science Advances (sciadv.adt7795) · 📅 2026-06-25 · ↗ Open paper
This Science Advances study reveals how the characteristics and distribution of pores and grain boundaries collectively determine ion conduction in polycrystalline solid electrolytes. The authors show that pore-grain boundary interactions create percolation barriers that dominate macroscopic conductivity. They propose microstructural engineering strategies — controlling pore size, distribution, and GB character — to enhance ion transport beyond current limits.
Relevance to DENG.Group
Directly relevant to Cheng Peng's grain boundary work. The pore-GB interaction framework provides a new dimension beyond isolated GB studies. Cheng Peng should incorporate porosity effects into his GB transport simulations. The microstructural engineering strategies could be validated computationally using the group's existing simulation infrastructure.
14. Grain Boundary-Driven Lattice Dynamics in a Solid-State Li-Ion Conductor¶
Source: Advanced Science (2026) · 📅 2026-06-18 · ↗ Open paper
This study reveals that grain boundaries in solid-state Li-ion conductors drive local lattice dynamics that differ significantly from bulk behavior. Using a combination of neutron scattering, impedance spectroscopy, and atomistic modeling, the authors show that GB-induced lattice softening and anharmonicity modify the ion migration landscape, creating both fast and slow transport channels depending on GB crystallography.
Relevance to DENG.Group
Important for Cheng Peng's grain boundary simulations — the lattice dynamics perspective adds a phonon-level dimension to GB transport modeling. The experimental validation via neutron scattering provides reference data for validating atomistic GB models. The connection between GB crystallography and transport channel type could guide Cheng Peng's systematic GB screening studies.
15. Open electrolyte database generated via an automated molecular dynamics simulation framework¶
Source: npj Computational Materials (s41524-026-02093-y) · 📅 2026-06-30 · ↗ Open paper
An open database of ~5600 electrolyte formulations generated using a fully automated, high-throughput MD simulation framework. Unlike existing databases that focus on isolated molecular properties, this resource provides electrolyte-level collective properties including ionic conductivity, viscosity, and ion solvation structure. The automation pipeline enables systematic exploration of composition-structure-property relationships across vast chemical spaces.
Relevance to DENG.Group
Valuable resource for Naibing Wu's polymer electrolyte work and the group's broader electrolyte design efforts. The database can serve as training data for ML models predicting electrolyte properties, and the automated simulation framework could be adapted for solid polymer electrolyte screening. The composition-property maps may guide experimental collaborators toward promising formulations.