Generative inverse design of Li–P–S solid-electrolyte candidates: MatterGen → self-consistent MLIP stability screen (S.U.N.) → conductivity ranking. Concept validation.
-
Updated
Jul 2, 2026 - Python
Generative inverse design of Li–P–S solid-electrolyte candidates: MatterGen → self-consistent MLIP stability screen (S.U.N.) → conductivity ranking. Concept validation.
Open-Source 3D magnetic confinement geometry for a stepped-volume asymmetric stellarator. Autonomously converged and VMEC-verified.
SSE donor-number screening pipeline: 5-component weighted DN ranking over 14 candidates, ML-AIMD surrogate, Butler-Volmer SEI, 3D microstructure, multi-source dataset mirror (17K rows), and a real-time BI platform on Kafka + Flink + Iceberg + Trino with an Aliyun MaxCompute/Hologres/DataWorks mirror.
Data-driven screening of Li-ion solid electrolytes on OBELiX: a CatBoost conductivity model + SHAP explanations + a Materials Project screening funnel with an adversarial audit.
Add a description, image, and links to the solid-electrolyte topic page so that developers can more easily learn about it.
To associate your repository with the solid-electrolyte topic, visit your repo's landing page and select "manage topics."