Disentangled variational autoencoder (D-VAE) separates materials properties from the latent space by conditioning to make inverse materials design more efficient and transparent. It combines labeled ...

In materials science, if you can understand the "texture" of a material—how its internal patterns form and shift—you can ...

The team developed a computational framework using robotic path planning algorithms to rapidly identify optimal composition gradients between dissimilar materials. The framework enables the creation ...

Multivariate porous materials (MTV) are like a "collection of Lego blocks," allowing for customized design at a molecular level to freely create desired structures. Using these materials enables a ...

Tools for simulating manufacturing encompass various levels of CAD, CAM, CAE, PDM, and PLM tools. Solutions are usually tightly integrated vertically within the vendor's own environment, with ...

How is healthcare embracing sustainability? Healthcare Design magazine shares recent articles showcasing trends in ...