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README.md
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- Fine-tuning via the project scripts under `05_steps/02_finetune_generator/` and
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`05_steps/09_closed_loop_feedback/`.
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## Limitations
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The generator proposes candidate structures; it does not validate mobility,
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- Fine-tuning via the project scripts under `05_steps/02_finetune_generator/` and
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`05_steps/09_closed_loop_feedback/`.
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## Evaluation
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These generator checkpoints were evaluated operationally inside the closed-loop
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InvDesMobility workflow: structures generated from each checkpoint were
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deduplicated, screened by surrogate models, and then selected candidates were
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validated with first-principles mobility calculations.
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The generated pools, feedback datasets, and retained-channel records used to
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audit this process are packaged in `DreamLufei/invDesMobility-data`. No
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standalone generative benchmark table is included in this model repository,
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because the relevant quality measure for this work is downstream retention and
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DFT validation rather than raw sample likelihood alone.
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## Limitations
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The generator proposes candidate structures; it does not validate mobility,
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