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@@ -57,6 +57,19 @@ Key settings used by the feedback models include:
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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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+
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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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+
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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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+
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  ## Limitations
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  The generator proposes candidate structures; it does not validate mobility,