fig3

Heterogeneous catalyst design by generative models

Figure 3. Historical roadmap of generative models for molecules (e.g., ChemicalVAE[19], MolGAN[21], UniMol[24]), crystals (e.g., CD-VAE[26], CrystaLLM[27], MatterGen[28]), and catalysts (e.g., TOF-GAN[29], Diffusion-surface[30], CatGPT[31], MAGECS[32]), covering VAE, GAN, diffusion, and Transformer paradigms. VAE: Variational autoencoder; GAN: generative adversarial network.

Journal of Materials Informatics
ISSN 2770-372X (Online)
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