Browse Data ESRA-MLP-0006 MLIP Public ⚠ Incomplete — 1 field missing
Bingning Wang
0000-0001-5168-6493
Chen Liao
Data-driven design of electrolyte additives for 5 V LNMO electrodes
2025_BingningWang_ChenLiao_Nat.Commun._s41467-025-57961-w ← click to see all uploads from this cell
10.1038/s41467-025-57961-w ↗
2026-08-13 10:19:31
abe73307-226e-4601-a962-a1a8569df534
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/bingning-wang/data-driven-design-of-electrolyte-additi/2025-bingningwang-chenliao-natcommun-s41/Data-driven design of electrolyte additives supporting high-performance 5 V LiNi0.5Mn1.5O4 positive electrodes/mlip/ESRA-MLP-0006/
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Linked Uploads

Type Group Date Project Link
SEM Chen Liao 2026-08-13 10:19 Data-driven design of electrolyte additives for 5 V LNMO electrodes same cell
XPS Chen Liao 2026-08-13 10:19 Data-driven design of electrolyte additives for 5 V LNMO electrodes same cell
NMR Chen Liao 2026-08-13 10:19 Data-driven design of electrolyte additives for 5 V LNMO electrodes same cell
EIS Chen Liao 2026-08-13 10:19 Data-driven design of electrolyte additives for 5 V LNMO electrodes same cell
Cycling Chen Liao 2026-08-13 10:19 Data-driven design of electrolyte additives for 5 V LNMO electrodes same cell

Experiment Metadata

Model Type N/A — experimental data-driven ML (no DFT/quantum chemistry training data)
Visibility public
Publication Doi 10.1038/s41467-025-57961-w
Institution Code ESRA
Target Properties Final area-specific impedance (ASI, Ω·cm²); impedance rise (ΔASI, Ω·cm²); final specific capacity (Q, mAh g⁻¹)
Training Dataset Size 28 additive systems + 1 baseline = 29 total; 80:20 train:test split; 5-fold CV repeated 10×