materials
DPA4
MLIP in a 2026 paper, not yet seen on the Matbench Discovery leaderboard.
Levelmodel
Classmaterials
Parametersnot in the notes
Contextnot in the notes
ReleasedJun 2026
Opennessunknown
Runs onnot in the notes
Statusactive
Identity
- Developer
- DeepModeling
- Family
- not in the notes
- Released
- Jun 2026 sourcesannouncement page
- Weights published
- –
- Record checked
- 10 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
- GNN
- 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
- unknown
- Licence
- not in the notes sources
- Access routes
- not in the notes
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.
Links
DeveloperDeepModelingopen community, China
DeepModelingopen community, ChinaModelDPA4DeepModeling, materials
DPA4DeepModeling, materialsUse Casesnone recorded
Who Runs Itnone recorded
Organisations 1
Sources
- arxiv.org/pdf/2606.02419 https://arxiv.org/pdf/2606.02419
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "DPA4", https://aurion.semai.id/models/deepmodeling-dpa4/, records of October 2026.