Machine learning has rapidly advanced the design and discovery of new materials across various systems. To overcome the challenge of limited experimental data and the limitations of interpolative ...

While software engineers can design machine-learning algorithms, they often can't rely on the ever-changing hardware to be able to efficiently execute those algorithms. The same can be said for ...

“Our method further enables inverse design of microstructures, matching targeted mechanical responses within one to 15 percent accuracy, which were experimentally validated,” Espinosa said. Most ...

Transitioning to more advanced, technology-driven approaches like integrating machine learning (ML), machine ... consumer data to predict trends and design innovative packaging.