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@@ -28,6 +28,8 @@ All-atom Diffusion Transformers (ADiTs) jointly generate both periodic materials
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  - An autoencoder maps a unified, all-atom representations of molecules and materials to a shared latent embedding space; and
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  - A diffusion model is trained to generate new latent embeddings that the autoencoder can decode to sample new molecules or materials.
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  ## Citation
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  ArXiv link: [*All-atom Diffusion Transformers: Unified generative modelling of molecules and materials*](https://www.arxiv.org/abs/2503.03965)
 
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  - An autoencoder maps a unified, all-atom representations of molecules and materials to a shared latent embedding space; and
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  - A diffusion model is trained to generate new latent embeddings that the autoencoder can decode to sample new molecules or materials.
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+ ![](https://github.com/facebookresearch/all-atom-diffusion-transformer/blob/fc4364c86531db395153e37707ec692dfd3408ec/ADiT.png)
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  ## Citation
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  ArXiv link: [*All-atom Diffusion Transformers: Unified generative modelling of molecules and materials*](https://www.arxiv.org/abs/2503.03965)