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  # Synthesis Condition Predictor
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  This model predicts optimal temperature bins and atmosphere categories for inorganic material synthesis.
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- It was trained on a dataset of text-mined synthesis procedures. Here is the source of the dataset: https://figshare.com/articles/dataset/Dataset_of_Solution-based_Inorganic_Materials_Synthesis_Recipes_Extracted_from_the_Scientific_Literature/16583387/4?file=33946565
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  **Models Included:**
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  * Temperature Bin Prediction (LightGBM)
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  * The feature engineering for process parameters in the inference script relies on the user providing an `operations_simplified_list` that can be parsed by the internal logic. The quality of these inputs directly affects prediction accuracy.
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  **Training Data:**
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- The model was trained on a proprietary dataset of text-mined inorganic synthesis procedures.
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- https://figshare.com/articles/dataset/Dataset_of_Solution-based_Inorganic_Materials_Synthesis_Recipes_Extracted_from_the_Scientific_Literature/16583387/4?file=33946565
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  **Evaluation Results:**
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- ()
 
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  # Synthesis Condition Predictor
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  This model predicts optimal temperature bins and atmosphere categories for inorganic material synthesis.
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+ It was trained on a dataset of text-mined synthesis procedures. Here is the source of the dataset: https://www.nature.com/articles/s41597-019-0224-1
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  **Models Included:**
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  * Temperature Bin Prediction (LightGBM)
 
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  * The feature engineering for process parameters in the inference script relies on the user providing an `operations_simplified_list` that can be parsed by the internal logic. The quality of these inputs directly affects prediction accuracy.
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  **Training Data:**
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+ The model was trained on a proprietary dataset of text-mined inorganic synthesis procedures. (Kononova et al.)
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+ https://www.nature.com/articles/s41597-019-0224-1
 
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  **Evaluation Results:**
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+ (soon)