Materials Science
扩散描述符集成机器学习方法
Diffusion descriptor integrated machine learning approachA computational workflow that combines diffusion descriptors with machine learning models to accelerate the discovery of materials, specifically applied here to solid-state electrolytes for lithium metal batteries. / 一种结合扩散描述符与机器学习模型的计算工作流程，用于加速材料发现，此处专门应用于锂金属电池的固态电解质。
- Knowledge type
- 工艺技术
- First proposed or discovered
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- Turkey Farm member
- Creator
- 农场主
- Last updated
- 2026-10-23 06:02:08
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Main parameters and performance indicators
Diffusion descriptor: Describes atomic diffusion behaviorMachine learning model: Predicts material propertiesSolid-state electrolytes: Target material classLithium metal batteries: Target application
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Related literature
ranked by community starsA diffusion descriptor integrated machine learning approach toward the discovery of solid-state electrolytes for lithium metal batteriesOpen source
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1 recordsRecord title: Diffusion descriptor integrated machine learning approach.
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