This is a first draft of a compiled Curie temperature dataset mapping crystal structure (from Materials Project) to Curie temperature. Builds on the work of https://github.com/Songyosk/CurieML. Dataset includes ~6,800 unique materials representing 3,284 unique chemical families.
| max | min | std | mean | count | formula | material_id |
|---|---|---|---|---|---|---|
| 12.0 | 12.0 | 12.0 | 1 | (CSN2H4) | mp-23993 | |
| 12.0 | 12.0 | 12.0 | 1 | (CSN2H4) | mp-634059 | |
| 12.0 | 12.0 | 12.0 | 1 | (CSN2H4) | mp-721896 | |
| 12.0 | 12.0 | 12.0 | 1 | (CSN2H4) | mp-23930 | |
| 12.0 | 12.0 | 12.0 | 1 | (CSN2H4) | mp-735023 | |
| 583.0 | 583.0 | 0.0 | 583.0 | 2 | (Co0.5Mn0.5)2P | mp-20249 |
| 46.0 | 37.8 | 5.798275605729692 | 41.9 | 2 | (Dy0.50Er0.50)Al2 | mp-1225265 |
In this post I'll share some of the work I've been doing on a Curie temperature prediction model. I finally found a decent dataset to work with. More on that here: