Author

Chen-Xi Wang

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Open access Aug 2026

Machine Learning-Guided Electronic Configuration Design for Dielectrics With High Energy Storage Performance.

An interpretable machine learning framework based on Shapley Additive exPlanations is developed to guide the compositional design of K0.5Na0.5NbO3-based relaxor ferroelectrics, leading to Sc as the optimal dopant, outperforming the Bi5/6In0.5Sn0.5O3-doped system.

Liang-Zhe Chen, Lei Cao, Zishan Jin et al. · Small · 0 citations

#machine learning Preprint Aug 2026

Anchored Scenario Coverage for Failure-Aware First-Hit Batch Inverse Design

Early discovery of at least one valid design satisfying a target requirement is a central objective in failure-prone closed-loop inverse design. A natural batch baseline ranks candidates by a product-form marginal valid-hit score, but selecting the highest-ranked candidates independently can produce redundant recommend...

Chu-Han Yang, Chen-Xi Wang, Linhan Wu et al. · 0 citations