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MoMa Hub

This repository hosts the pre-trained modules (114 in total) for the paper "MoMa: Towards Composable Knowledge for Materials Discovery" (under review).

Note: This dataset is provided for the purpose of peer review.

Overview

The MoMa Hub contains 114 pre-trained modules spanning two core experiments:

Property Prediction Modules — Built on the JMP backbone, fine-tuned on diverse material property tasks covering electronic, thermal, mechanical, and phonon-related properties.
Structure Optimization Modules — Built on the ESEN backbone, trained on various atomistic simulation datasets for crystal structure relaxation and stability prediction.

Access

During the review period, access to these modules is available upon request.

All modules will be fully open-sourced upon paper acceptance.

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