Using machine learning, the computational method can provide details of how materials work as catalysts, semiconductors, or battery components.

The work demonstrates control over key properties leading to better performance.

Passionate about materials science “from the atom to the system,” Elsa Olivetti brings a holistic approach to sustainability to her teaching, research, and coalition-building.

The LIRAS technique could speed up the development of acoustic lenses, impact-resistant films, and other futuristic materials.

Computer vision enables contact-free 3D printing, letting engineers print with high-performance materials they couldn’t use before.

Thin flakes of graphite can be tuned to exhibit three important properties.

The results open the door to exploring superconductivity and other exotic electronic states in three-dimensional materials.

The approach directly converts the greenhouse gas into formate, a solid fuel that can be stored indefinitely and could be used to heat homes or power industries.

The low-cost FibeRobo, which is compatible with existing textile manufacturing techniques, could be used in adaptive performance wear or compression garments.

The fibers could help with testing treatments for nerve-related pain.