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MEIDNet Benchmarks

Reproducible results for multimodal materials representation and inverse design, one leaderboard per dataset. Different datasets are different tasks, so there is no ranking across them: compare rows only within a page. The idea follows Matbench Discovery: fixed data, inspectable submissions, plots and an evidence level per row.

3datasets
5results
2reproduced here
1DFT or experiment

Datasets

dataset role results reproduced highest evidence
Carbon-24 published: structure-representation generalization (not a multimodal benchmark) 0 0 –
MP-20 published: structure-representation generalization (not a multimodal benchmark) 0 0 –
Perov-5 the published multimodal benchmark: alignment, property reconstruction and inverse design 5 2 DFT validated

The evidence ladder

level means
○○○○○ generated the model produced it
●○○○○ ML filtered it passed the family's rules and the model's own checks
●●○○○ MLIP validated relaxed and found stable with a machine-learned potential (meidnet screen, MACE)
●●●○○ DFT validated confirmed by density-functional calculations
●●●●○ experimentally validated synthesised and measured
results per evidence level (all datasets)generated3MLIP validated1DFT validated1

Status of a row

Published = quoted from the paper · Community submitted = a pull request, validated by CI · MEIDNet verified = reproduced here from the submitted configuration (python scripts/benchmarks.py reproduce <id>). How to contribute · Databases by application

Latest results

date result dataset category evidence status
2026-10-03 MLIP screening of the shipped paper candidates (MACE-MP-0) Perov-5 Validation level ●●●○○ MLIP validated Community submitted
2026-10-03 Shipped checkpoint re-evaluated on the training split (this code) Perov-5 Representation quality ●○○○○ generated MEIDNet verified
2026-10-03 Shipped checkpoint re-evaluated on the held-out validation split (this code) Perov-5 Representation quality ●○○○○ generated MEIDNet verified
2026-05-29 MEIDNet (paper): inverse design of perovskites from property targets Perov-5 Conditional design ●●●●○ DFT validated Published (from the paper)
2026-05-29 MEIDNet (paper): alignment of structure and property latents on Perov-5 Perov-5 Representation quality ●○○○○ generated Published (from the paper)