Research Digest — 2026-04-15¶
Halide Solid Electrolytes & ML Potentials¶
1. AQVolt26: High-Temperature r²SCAN Halide Dataset for Universal ML Potentials and Solid-State Batteries¶
Source: arXiv (2604.02524) · 📅 2026-04 · ↗ Open paper
Presents a dataset of 322,656 r²SCAN single-point calculations for lithium halides across ~5K structures, generated via high-temperature configurational sampling. Demonstrates that foundational MLIP datasets provide a strong baseline for stable halide chemistries but absolute energy predictions degrade at distorted high-temperature regimes. Co-training with AQVolt26 resolves this blind spot, showing that domain-specific configurational sampling is essential for reliable dynamic screening of halide electrolytes.
Relevance to DENG.Group
Highly relevant to Yanhao Deng's ML potential work on halide electrolytes. Directly addresses the challenge of training accurate MLIPs for dynamically soft halide systems. The finding that foundational models need targeted high-temperature data augmentation is actionable for our halide MLIP pipeline. Connects to the r²SCAN vs PBE discussion from the 2026-03-20 digest.
Grain Boundaries & Dendrite Growth¶
2. Grain Boundary Amorphization as a Strategy to Mitigate Lithium Dendrite Growth in Solid-State Batteries¶
Source: Nature Communications · 📅 2026-04 · ↗ Open paper
Uses machine learning interatomic potentials to investigate lithium segregation at LLZO grain boundaries, finding that certain GBs exhibit significant Li accumulation with high Li–Li coordination conducive to dendrite nucleation. Proposes targeted grain boundary amorphization via controlled heating as a strategy to engineer robust solid electrolyte microstructures that suppress dendrite penetration.
Relevance to DENG.Group
Directly relevant to Cheng Peng's grain boundary work and Shoutong Jin's phase-field dendrite simulations. The MLIP-based GB modeling approach is methodologically aligned with the group's computational strategy. The GB amorphization concept could inspire new directions for interface engineering.
3. Phase Field Simulation of Dendrite Growth in Solid-State Lithium Batteries Based on Mechanical-Thermo-Electrochemical Coupling¶
Source: arXiv (2509.02013) / Acta Physica Sinica 74(7), 2025 · 📅 2025-09 · ↗ Open paper
Develops a coupled mechanical-thermal-electrochemical phase-field model to simulate lithium dendrite morphology and evolution under varying temperatures and external pressures. Results show that higher temperature and greater external pressure significantly suppress dendrite growth, with combined effects producing flatter, denser lithium deposits. Stress concentrates at dendrite roots, promoting lateral growth.
Relevance to DENG.Group
Complementary to Shoutong Jin's phase-field dendrite work. The mechanical-thermal-electrochemical coupling framework is more comprehensive than typical electrochemical-only models and could inform model refinement in the group.
Solid Polymer Electrolytes¶
4. ORNL Designs Superionic Polymer Electrolytes via Zwitterionic Self-Organization¶
Source: Materials Today (ORNL / DOE FaCT EFRC) · 📅 2026-04 · ↗ Open paper
Researchers at Oak Ridge National Laboratory demonstrate that by incorporating precisely tuned zwitterionic functional groups into lithium salt-based polymers, segments self-organize into ion channels enabling superionic transport — ions move up to 10 billion times faster than their surroundings. This achieves ceramic-like ionic conductivity in a flexible polymer matrix, addressing the longstanding challenge of fast ion transport in solid polymer electrolytes.
Relevance to DENG.Group
Directly relevant to Naibing Wu's solid polymer electrolyte simulation work. The zwitterionic self-organization strategy provides a new design principle for superionic SPEs that could be explored computationally. Molecular dynamics simulations of these zwitterionic channel structures would be a natural follow-up.
Interface Stability (First Principles)¶
5. Electrochemical Stability and Lithium Insertion at the Li|Li₃OCl Solid Electrolyte Interface¶
Source: arXiv (2604.10630) · 📅 2026-04 · ↗ Open paper
First-principles DFT study of the Li metal|Li₃OCl antiperovskite interface, systematically analyzing structural stability, electronic structure, and electrochemical behavior across multiple interface orientations. Results show localized charge redistribution near the interface and that lithium incorporation is energetically unfavorable in most electrolyte layers, suggesting Li₃OCl maintains good electrochemical stability against Li metal.
Relevance to DENG.Group
Relevant to Umang Agarwal's heterogeneous interface work and the group's interest in electrolyte/electrode interface stability. The antiperovskite system is an interesting contrast to the halide electrolytes the group primarily studies, and the multi-orientation interface analysis methodology is worth adopting.
ML Potentials for Interfaces¶
6. Machine-Learning Interatomic Potentials for Interfaces in All-Solid-State Batteries: Perspectives on Training Data, Model Selection, and Validation¶
Source: MRS Communications (10.1557/s43579-026-00928-9) · 📅 2026-04 · ↗ Open paper
Review and perspective on applying MLIPs to interface phenomena in all-solid-state batteries, including grain boundaries and electrolyte/electrode interfaces. Discusses challenges in training data generation, model selection strategies, and validation protocols for interface-specific simulations where complex electro-chemo-mechanical phenomena occur.
Relevance to DENG.Group
Timely review for Yanhao Deng's MLIP work and Umang Agarwal's interface studies. The training data and validation discussion directly addresses practical challenges the group faces in building reliable interface models.