Predicting steel yield strength from composition

Predict the yield strength of a steel in MPa from its chemical formula alone, over 312 measured alloys.

shoal Update scienceslack.json from shoal-catalog d1cbb60b3b19 9e3bf7f · 2周前历史

31 行 · 868 Bytes 原始文件永久链接历史

1	{
2	"domain": "chemistry-materials",
3	"topics": [
4	"materials-science"
5	],
6	"type": "algorithm",
7	"benchmark": {
8	"task": "Predict steel yield strength from composition",
9	"metric": {
10	"name": "MAE (MPa)",
11	"better": "lower"
12	},
13	"baseline": {
14	"name": "Best on the Matbench leaderboard (TPOT-Mat)",
15	"score": 79.9468
16	}
17	},
18	"source": {
19	"key": "matbench",
20	"name": "Matbench",
21	"url": "https://matbench.materialsproject.org/Leaderboards%20Per-Task/matbench_v0.1_matbench_steels/",
22	"id": "matbench_steels",
23	"curator": "Materials Project (Dunn et al.)",
24	"poser": "Alexander Dunn, Qi Wang, Alex Ganose, Daniel Dopp and Anubhav Jain",
25	"status": "open; leaderboard last updated January 2024",
26	"as_of": "2026-10-20",
27	"catalog": "0521c19bbd38"
28	},
29	"review": true,
30	"approval": "first-time"
31	}