Abstract
ABSTRACT
Non‐Arrhenius ion transport is increasingly observed in solid electrolytes but remains difficult to compare across materials or use in screening. A curated database of 867 conductivity‐temperature entries from thio‐LISICON and LGPS‐type sulfides is used to introduce Meyer–Neldel deviation (MND), a physics‐informed, material‐level descriptor of temperature‐dependent changes in apparent activation energy. More than 40% of the analyzed sulfide electrolytes show notable deviations from linear Arrhenius behavior. MND separates low‐conductivity/high‐barrier and superionic/low‐barrier regimes associated with ionic‐radius mismatch, electronegativity difference, configurational entropy, and mixing thermodynamics, while providing a more informative learning target than single‐value activation energies. Sensitivity analyses indicate that material‐level trends remain reasonably robust to variations in conductivity, reference temperature, and sampling density. Application to a reprocessed dataset of 160 compositions and 2,410 conductivity‐temperature entries across seven electrolyte families supports broader applicability. MND‐guided screening of 171 Li
10
Ge
x
Si
y
Sn
z
P
2
S
12
compositions prioritizes Li
10
Ge
0.3
Si
0.15
Sn
0.55
P
2
S
12
, which exhibits a room‐temperature conductivity of 7.21 mS cm
−
1
, an apparent activation energy of 0.288 eV, and weak non‐Arrhenius behavior consistent with prediction. Evaluation of a second composition further supports the multistage screening strategy. These results position MND as a chemically interpretable representation for quantifying, learning, and screening temperature‐dependent ion transport.