Project AURIONAI Use-Cases Research & Innovation
Microsoft AI
materials

MatterSim

Microsoft deep learning atomistic model that simulates materials across elements, temperatures and pressures. Paper by Yang et al. (2024).

Microsoft AIMicrosoft AIUSA
Figure from the MatterSim paper: MatterSim is a deep learning atomistic model for predicting materials properties with high predictive accuracy across chemical elements, temperatures and pressu.
Levelmodel
Classmaterials
Parametersnot in the notes
Contextnot in the notes
Released8 May 2024
Opennessopen source
Runs onnot in the notes
Statusactive

R&D Topics

Universal machine-learned interatomic potentialsexemplar

Identity

Developer
Microsoft AI
Family
not in the notes
Released
8 May 2024 sourcesannouncement page
Weights published
–
Record checked
12 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.

Architecture and Size

Architecture
other Deep learning atomistic model (machine-learned interatomic potential)
Total parameters
– sources
Active parameters
–
Checkpoint parameters
–
Context length
not in the notes
Input
molecule
Output
molecule
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).

Openness and Access

Openness
open source
Licence
MIT License sources
Access routes
open weights download
Where this comes from
The licence file governs over registry tags and aggregator labels.

Deployment

Runs on
not in the notes
Footprint
not in the notes
Runtimes
not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.

Indonesia

Indonesian support
not stated
Regional languages
not in the notes
Jakarta hosting
unknown
Languages
not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.

Benchmark Results

The notes record no benchmark result for this model.

Lineage

The notes record no lineage for this model.

Industry Use Cases

No industry use case links this model.

Sources

  1. arxiv.org/abs/2405.04967 https://arxiv.org/abs/2405.04967
  2. github.com/microsoft/mattersim https://github.com/microsoft/mattersim
  3. ai.azure.com/catalog/models?task=materials-design https://ai.azure.com/catalog/models?task=materials-design

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "MatterSim", https://aurion.semai.id/models/microsoft-mattersim/, records of October 2026.