首页/数据集/Data for: Accelerated search for perovskite materials with higher Curie temperature based on the machine learning methods

Data for: Accelerated search for perovskite materials with higher Curie temperature based on the machine learning methods

NIAID Data Ecosystem2026-03-11 收录

钙钛矿居里温度预测

机器学习材料筛选

数据链接：

https://data.mendeley.com/datasets/p763twb9k3 数据链接链接失效反馈

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资源简介：

21 features of Curie temperature of perovskite materials

应用场景：

创建时间：

2020-03-31

红外透明材料设计

机器学习材料筛选

The development of low-cost, high-performance materials with enhanced transparency in the long-wavelength infrared (LWIR) region (800–1250 cm–1/8–12.5 μm) is essential for advancing thermal imaging an

Figshare2025-09-09 更新30

DataCor Dataset V1

材料腐蚀防护

机器学习材料筛选

Database for paper "Performance of Machine Learning Algorithms to Identify Corrosion Inhibitors for Aluminum Alloys Used in Aeronautical Applications"

Mendeley Data20

Machine learning data for Mg-based thermoelectric materials

热电材料

机器学习材料筛选

Mg-based thermoelectric materials have emerged as promising candidates for thermoelectric applications, owing to their eco-friendliness, cost-effectiveness, and abundant availability. To overcome the

NIAID Data Ecosystem10

Accelerated Discovery of Novel Garnet-Type Solid-State Electrolyte Candidates via Machine Learning

固态电解质

机器学习材料筛选

All-solid-state batteries (ASSBs) have attracted considerable attention because of their higher energy density and stability than conventional lithium-ion batteries (LIBs). For the development of prom

Figshare2023-01-19 更新20

Methane Adsorption Database of MOFs for Machine Learning V3.0

金属有机框架吸附

机器学习材料筛选

Metal-organic frameworks (MOFs) possess high surface areas and customizable properties, making them among the most promising materials for gas adsorption. The structures of MOFs vary widely due to dif

Mendeley Data10

Data for: Accelerated search for perovskite materials with higher Curie temperature based on the machine learning methods

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