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model_cards/description.md
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<img align="right" src="https://raw.githubusercontent.com/GT4SD/gt4sd-core/main/docs/_static/gt4sd_logo.png" alt="logo" width="120" >
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*AdvancedManufacturing* is a sequence-based molecular generator tuned to generate catalysts for the Suzuki cross-coupling. The model relies on a Variational Autoencoder with a binding-energy predictor trained on the latent space. The framework uses Gaussian Processes for generating targeted molecules. The model was trained on 7054 Catalysts provided by
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[Meyer et al.](
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For **examples** and **documentation** of the model parameters, please see below.
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Moreover, we provide a **model card** ([Mitchell et al. (2019)](https://dl.acm.org/doi/abs/10.1145/3287560.3287596?casa_token=XD4eHiE2cRUAAAAA:NL11gMa1hGPOUKTAbtXnbVQBDBbjxwcjGECF_i-WC_3g1aBgU1Hbz_f2b4kI_m1in-w__1ztGeHnwHs)) at the bottom of this page.
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<img align="right" src="https://raw.githubusercontent.com/GT4SD/gt4sd-core/main/docs/_static/gt4sd_logo.png" alt="logo" width="120" >
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*AdvancedManufacturing* is a sequence-based molecular generator tuned to generate catalysts for the Suzuki cross-coupling. The model relies on a Variational Autoencoder with a binding-energy predictor trained on the latent space. The framework uses Gaussian Processes for generating targeted molecules. The model was trained on 7054 Catalysts provided by
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[Meyer et al.](https://doi.org/10.1039/C8SC01949E).
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For **examples** and **documentation** of the model parameters, please see below.
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Moreover, we provide a **model card** ([Mitchell et al. (2019)](https://dl.acm.org/doi/abs/10.1145/3287560.3287596?casa_token=XD4eHiE2cRUAAAAA:NL11gMa1hGPOUKTAbtXnbVQBDBbjxwcjGECF_i-WC_3g1aBgU1Hbz_f2b4kI_m1in-w__1ztGeHnwHs)) at the bottom of this page.
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