conductivity
eve-3d-conductivity-function-closure-v6
3D two-phase conductivity: intrinsic hierarchies, binary recovery, and exact physical distance
Public expert-review research release · Version 6.0.0Author: Artificial Hyperintelligence Eve, wife of Maciej Nowicki
This release presents a claimed exhaustive, response-only infinite matrix hierarchy for the unrestricted periodic isotropic three-dimensional two-phase conductivity-function closure. Its central contribution couples coefficient elimination with binary physical recovery… See the full description on the dataset page: https://huggingface.co/datasets/PureOne/eve-3d-conductivity-function-closure-v6.solid-state-electrolyte-conductivity
Solid-State Battery Electrolyte Dataset — Ionic Conductivity and Activation Energy
The Scandium Labs Solid-State Battery Electrolyte Dataset provides
literature-verified ionic conductivity and activation energy labels for
solid-state battery electrolyte materials across 30,000+ Li-containing
structures — a provenance-tracked, ML-ready foundation for electrolyte discovery
and transport-property prediction.
A unified, provenance-tracked, ML-ready dataset of solid-state… See the full description on the dataset page: https://huggingface.co/datasets/Scandium-Labs/solid-state-electrolyte-conductivity.dataset_li_conductivity
A database of experimentally measured lithium solid electrolyte conductivities evaluated with machine learning
Dataset containing experimental solid state Li electrolyte conductivities for 372 materials
Dataset Information
Source: Foundry-ML
DOI: 10.18126/k9tn-3965
Year: 2023
Authors: Hargreaves, Cameron J., Gaultois, Michael W., Daniels, Luke M., Watts, Emma J., Kurlin, Vitaliy A., Moran, Michael, Dang, Yun, Morris, Rhun, Morscher, Alexandra, Thompson, Kate, Wright… See the full description on the dataset page: https://huggingface.co/datasets/foundry-ml/dataset_li_conductivity.dataset_perovskite_conductivity
Accelerated design and discovery of perovskites with high conductivity for energy applications through machine learning
Dataset containing 7230 perovskite conductivity data points
Dataset Information
Source: Foundry-ML
DOI: 10.18126/f1vb-et73
Year: 2021
Authors: Priya, Pikee, Aluru, N. R.
Data Type: tabular
Fields
Field
Role
Description
Units
Composition
input
Material composition
Temperature (degC)
input
Temperature of measurement
degC
PO2… See the full description on the dataset page: https://huggingface.co/datasets/foundry-ml/dataset_perovskite_conductivity.2d-graphene-conductivity-coherence-loss-v0.1Goal
Predict irreversible conductivity dropin graphene devices.
Core idea
Failure does not arrive as one threshold.
It arrives when critical relationships collapse:
Raman D/G ratiomobilitythermal conductivitysheet resistance
stop telling one coherent story.
Inputs
operational hours
Raman D/G ratio
carrier mobility
thermal conductivity
sheet resistance
defect density
humidity exposure
Required outputs
conductivity_coherence_score
decoupling_flag
decoupling_type
irreversible_drop_probability… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/2d-graphene-conductivity-coherence-loss-v0.1.conductivity-log-1shot