A Python library for data mining and analysis in materials science, providing tools for featurizing materials and accessing materials data.
Matminer
- Python
- 人工智能和机器学习, 化学, 数据分析, 材料, 纳米技术
- 复合材料, 计算流体动力学（CFD）, 增材制造设计（DfAM）, 机器学习, 材料, 产品开发, 可持续性指标
特点
- Access to materials databases (Materials Project, Citrine, AFLOW, etc.), featurization of materials (compositional, structural, band structure), data retrieval and processing pipelines, integration with machine learning libraries (scikit-learn, Keras), tools for plotting materials properties.
定价
- 免费
- Facilitates materials informatics research by providing easy access to data and featurization tools, integrates well with the Python materials science ecosystem (Pymatgen, ASE), promotes reproducible research.
- Relies on external databases which may have access limitations or require API keys, featurization can be computationally intensive, learning curve for understanding various featurizers.
最适合：
- Materials scientists and researchers using data-driven approaches and machine learning for materials discovery, design, and property prediction.
- 复合材料, 计算流体动力学（CFD）, 增材制造设计（DfAM）, 机器学习, 材料, 产品开发, 可持续性指标