Browse Data ESRA-TEM-0007 TEM Public
Haili Jia
0000-0003-2059-0768
Maria Chan; Miaofang Chi
Revealing Local Structures through Machine-Learning-Fused Multimodal Spectroscopy
2026_HailiJia_MariaChan_ACS.Nano_5c16942 ← click to see all uploads from this cell
10.1021/acsnano.5c16942 ↗
2026-08-12 15:40:21
1ff24231-3a59-4190-95c9-7fcbcec09095
How to Cite
1 — Cite the dataset paper
↗ View paper
2 — Cite the ESRA platform
Galib, M. et al. (2026). ESRA: Energy Storage Research Assistant. Argonne National Laboratory. https://github.com/MusannaGalib/esra-platform
CC BY 4.0  ·  Data shared under Creative Commons Attribution 4.0

Location on Eagle / Perlmutter

/global/cfs/cdirs/m4845/gsharing/maria-chan-miaofang-chi/revealing-local-structures-through-machi/2026-hailijia-mariachan-acsnano-5c16942/EELS/tem/ESRA-TEM-0007/
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Linked Uploads

Type Group Date Project Link
XAS Maria Chan; Miaofang Chi 2026-08-12 15:40 Revealing Local Structures through Machine-Learning-Fused Multimodal Spectroscopy same cell
MLIP Maria Chan; Miaofang Chi 2026-08-12 15:40 Revealing Local Structures through Machine-Learning-Fused Multimodal Spectroscopy same cell
DFT Maria Chan; Miaofang Chi 2026-08-12 15:40 Revealing Local Structures through Machine-Learning-Fused Multimodal Spectroscopy same cell

Experiment Metadata

Visibility public
Voltage Kv 300.0
Imaging Mode EELS
Publication Doi 10.1021/acsnano.5c16942
Collection Angle 65.0
Instrument Model FEI Titan
Institution Code ESRA
Convergence Angle 30.0
Sample Composition Li₁.₂Mn₀.₄₉Si₀.₀₅Ni₀.₁₃Co₀.₁₃O₂
Sample Preparation Post-mortem: electrodes charged to 4.3 V or 4.6 V at C/10; harvested in glovebox; rinsed in DMC; dried; scraped from current collector; loaded onto lacy carbon grid
Sample Transfer Environment Glovebox (argon)