RESEARCH OVERVIEW · Materials Science · 2026
Causal Symbolic Regression for All-Solid-State Battery Materials
Which battery material candidates should be examined first? This work explores relationships between material properties and performance.
Material candidates
Causal symbolic regression
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Research abstract
We present a framework applying causal symbolic regression to ASSB material candidate search, reducing the search space by 97% versus DFT and achieving ionic conductivity prediction error below 0.03 eV.
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