Bingning Wang
Chen Liao
2025_BingningWang_ChenLiao_Nat.Commun._s41467-025-57961-w ← click to see all uploads from this cell
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

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/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

Materials Studied 6 materials

Material Family Role(s) Ion
LiNi0.5Mn1.5O4 (LNMO)  · High-voltage spinel cathode
5 V-class spinel
Spinel
Cathode
Cathode Li
Graphite  · Graphite anode Graphite
Anode
Anode Li
1.0 M LiPF6 in EC/EMC  · Baseline carbonate electrolyte Carbonate
Liquid
Electrolyte, Solvent Li
LiPF6  · Lithium hexafluorophosphate Lithium salt
Other · as named
Salt Li
Electrolyte additive library (28 additives + ML-designed binary blends)  · Screened electrolyte additives
Machine-learning-guided additive and binary-blend screening
Electrolyte additive set
Other · as named
Additive Li
Celgard polyolefin separator  · Celgard separator Separator material
Other
Separator

Declared for sample 2025_BingningWang_ChenLiao_Nat.Commun._s41467-025-57961-w — shared by every dataset on this sample.

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×