@sid-betala.bsky.social
Reposted
Happy to have contributed to and now finally share LeMat-GenBench, a new open benchmark + leaderboard for generative crystalline materials models! ⚛️✨
It provides standardised metrics for validity, stability, & much more. Already includes results for 12 models!
🔗 Paper: arxiv.org/abs/2512.04562
1/4
It provides standardised metrics for validity, stability, & much more. Already includes results for 12 models!
🔗 Paper: arxiv.org/abs/2512.04562
1/4
LeMat-GenBench: A Unified Evaluation Framework for Crystal Generative Models
Generative machine learning (ML) models hold great promise for accelerating materials discovery through the inverse design of inorganic crystals, enabling an unprecedented exploration of chemical spac...
arxiv.org
December 9, 2025 at 5:05 PM
Happy to have contributed to and now finally share LeMat-GenBench, a new open benchmark + leaderboard for generative crystalline materials models! ⚛️✨
It provides standardised metrics for validity, stability, & much more. Already includes results for 12 models!
🔗 Paper: arxiv.org/abs/2512.04562
1/4
It provides standardised metrics for validity, stability, & much more. Already includes results for 12 models!
🔗 Paper: arxiv.org/abs/2512.04562
1/4