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DreamLufei/invDesMobility-alignn-bandgap-nonmetal
invDesMobility-alignn-bandgap-nonmetal is a graph machine learning model from DreamLufei. Use it for the graph machine learning task on the model card, and read the license before you ship it in a product. It is set up for pytorch. The card lists the license as other.
This repository contains the ALIGNN model used in InvDesMobility for surrogate bandgap prediction and nonmetal screening before expensive first-principles mobility validation.
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From the Hugging Face model README
This repository contains the ALIGNN model used in InvDesMobility for surrogate bandgap prediction and nonmetal screening before expensive first-principles mobility validation.
last_model.pt: trained ALIGNN checkpoint used by the screening script.config.json: required ALIGNN model and graph-construction configuration.config.json is not a disposable log file. It defines the ALIGNN architecture
and inference graph parameters needed to reconstruct the model before loading
the checkpoint.
Use this model to rank/filter generated 2D candidate structures by predicted bandgap/nonmetal behavior inside the InvDesMobility screening pipeline.
The model was trained as a surrogate bandgap model for the project screening
workflow. See the invDesMobility repository and the companion data archive for
the associated dataset preparation scripts and records.
The included config.json records the training and inference settings, including
ALIGNNAtomWise architecture, cutoff, neighbor strategy, batch size, optimizer,
learning rate, and split ratios.
Standalone training/validation/test prediction tables for this bandgap surrogate
are not duplicated in this model repository. In InvDesMobility it is used as an
intermediate nonmetal/bandgap screen, and the corresponding screening outputs
are distributed in the companion DreamLufei/invDesMobility-data archive.
The model should be audited through those screening records together with the downstream deterministic DFT validation results, rather than treated as a final electronic-structure benchmark.
This is a surrogate screening model. Final electronic structure and carrier mobility claims require downstream DFT validation. The model should not be used as a replacement for first-principles band-structure calculations.