Juran Noh
Yangang Liang
2025_JuranNoh_YangangLiang_ACS.Appl.Energy.Mater._5c02546 ← click to see all uploads from this cell
2026-08-14 18:21:44
a4b5f2b2-ecb3-4c88-ba1f-d458d141e477
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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Linked Uploads

Type Group Date Project Link
NMR Yangang Liang 2026-08-14 18:21 Automation-Accelerated Electrolyte Design Mitigates Solubility Competition between Redox-Active Molecules and Supporting Salts same cell
EIS Yangang Liang 2026-08-14 18:21 Automation-Accelerated Electrolyte Design Mitigates Solubility Competition between Redox-Active Molecules and Supporting Salts same cell
DFT Yangang Liang 2026-08-14 18:21 Automation-Accelerated Electrolyte Design Mitigates Solubility Competition between Redox-Active Molecules and Supporting Salts same cell

Experiment Metadata

Model Type N/A — trained on experimental qNMR solubility data (not DFT)
Visibility public
Publication Doi 10.1021/acsaem.5c02546
Institution Code ESRA
Target Properties o-solubility of BTZ and LiTFSI in binary organic solvents (M); predicts minimum solubility of the two-solute system