Autoencoder– tag –
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Physics-Based Generative AI Accelerates Design of High-Performance 3D Porous Media
arXiv Overview A new preprint introduces a physics-based generative AI framework for designing 3D porous media with precise physical properties like porosity and permeability. This framework integrates a property-aware variational autoen... -
Hugging Face Papers Unveil Electronic Density Generative Framework Combining 3D Convolutional Autoencoders and Latent Diffusion Models
Hugging Face International Overview A generative framework for learning electronic density's latent space dynamics has been introduced in Hugging Face's paper collection. This framework combines 3D convolutional autoencoders with latent ... -
Symmetry-Guided AI Model SG-CDVAE Identifies Four Stable Novel Antiferromagnets for Spintronics Applications
AZoM International Overview A novel symmetry-guided AI model, SG-CDVAE, has identified four stable candidate antiferromagnets specifically for spintronics applications. This generative deep learning framework significantly accelerates th...
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