janosh/matbench-discovery
An evaluation framework for machine learning models simulating high-throughput materials discovery.
PythonMIT
Stargazers
- AbhivegaSweden
- Andrew-S-RosenPrinceton University
- AntObi@WMD-group @ImperialCollegeLondon
- aronwalsh@WMD-group
- Bit-Part-YoungSJTU
- BowenD-UCBUniversity of California, Berkeley
- CCSun21Xidian University
- chiang-yuanUC Berkeley, Lawrence Berkeley National Laboratory
- dgaines2Chicago, IL
- hspark1212
- ireaml@virtualatoms @WMD-group
- JaGeoFederal Institute for Materials Research and Testing
- janoshRadical AI
- jmmshnMicrosoft Quantum
- KarimElgammalNorthvolt
- kevingreenmanMIT
- kjappelbaumEPFL
- kuatrokaUnited Kingdom
- liusulinPrinceton University
- M-WatsonNew Orleans, LA
- mathsphy
- ml-evs@modl-uclouvain / @matgenix / @datalab-industries
- mosureMadison, WI
- mrauha
- obaicaBeijing Institute of Technology
- Pandaa-P
- pbenner@BAMeScience
- Pepe-MarquezHumboldt University of Berlin
- QuantumChemisthttps://github.com/BAMresearch
- sailfish009freelancer
- sgbaird@AccelerationConsortium (UoT) @sparks-baird (UoU)
- stefanbringuierIndependent Researcher
- sxie22
- wwang2@generatebio
- yangnianzu0515Shanghai Jiao Tong University
- zhongpc