This research, titled “Data-efficient and interpretable inverse materials design using a disentangled variational autoencoder”, was published in AI & Materials. Full article: https://doi.org ...

Inverse design, which the group's work addresses, quite literally attempts the problem in reverse. "Human researchers do what they're good at: envisioning novel and useful particle architectures.

A research team including members from the University of Michigan have unveiled a new observational technique that's ...

Over the past decade, generative deep learning models have been applied successfully to the design of novel drug molecules, ... Materials Science; December 13, 2023 dialog. ...

Inverse design is a fast-growing technique for developing new materials and devices that are specialized for highly specific uses. Starting from a desired functionality, inverse-design algorithms work ...

In a study published in Advanced Powder Materials, a team of researchers from Northwestern Polytechnical University in Xi'an, China, propose the concept of inverse design to break such a ...

Machine learning and reverse-engineering have opened new paradigms in the understanding and design of materials. However, this approach for the design of soft materials is highly non ... Inverse ...