AI models
MatterSim (Grpaphomer)
Training compute
1.1×10²⁰ FLOP
Parameters
182M
Published
May 10, 2024
MatterSim (Grpaphomer) is an AI model developed by Microsoft Research AI for Science (United States), first published in May 2024. It works in the materials science domain, on tasks such as atomistic simulations and molecular simulation.
Training it took an estimated 1.1×10²⁰ FLOP of compute (estimation method: operation counting). The model has 182,000,000 parameters. Training ran on 64 NVIDIA A100.
Epoch AI rates the confidence of this record as speculative.
Full record
- Organization
- Microsoft Research AI for Science
- Country of organization
- United States
- Domain
- Materials science
- Task
- Atomistic simulations, Molecular simulation
- Training compute
- 1.1×10²⁰ FLOP
- Compute estimation method
- Operation counting
- Parameters
- 182,000,000
- Training hardware
- NVIDIA A100
- Chips used
- 64
- Training power draw
- 50.6 kW
- Epoch confidence
- Speculative
More from Microsoft Research AI for Science
SourceEpoch AI, 'AI Models'. Published online at epoch.ai. Retrieved 2026-07-29 from https://epoch.ai/data/ai-models. Licensed under CC BY 4.0.
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