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Research Digests

Daily curated survey of computational materials science — solid electrolytes, ML potentials, ion transport, and beyond.


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Automated research paper digests for the DENG.Group at NUS, focused on solid-state battery materials, machine learning interatomic potentials, and computational materials science.

Latest Digest

March 20, 2026 — 8 papers on MLIP fine-tuning, halide electrolytes, polymer electrolytes, phase field modeling, and the 2026 solid electrolyte roadmap.

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Solid Electrolytes
ML Interatomic Potentials
Polymer Electrolytes
Phase Field / Dendrites
Defects & Interfaces

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