Materials Computation, Theory & Design

It lets researchers extract pixel-by-pixel information from nanoscale X-ray movies of electrode particles absorbing and releasing lithium ions.

These fleeting disruptions, seen for the first time in lead hybrid perovskites, may help explain why these materials are exceptionally good at turning sunlight into electrical curr

Want to build a better battery, a stronger airplane, or a faster computer? A materials science expert says your success starts in the atomic structure of the materials you choose.

Within computing systems, this faux synapse could help to imitate the brain’s efficiency and ability to learn.

A better battery testing technique could help bring new designs to the market more quickly and enable more efficient recycling of old batteries.

The search for the perfect material can be like trying to find a needle in a haystack. Researchers are leveraging machine learning to help change this.

Through an understanding of how DNA is packaged in the cell, researchers can infer which genes are likely turned on or off.

​Speedy, new ‘spin-orbit torque’ technology is designed for data-intensive computing applications like artificial intelligence and machine learning.

​Stanford’s Evan Reed is at the forefront of a new class of materials scientists who dream up new materials with computer simulations.

​New research on the biomechanical properties of skin has implications for new cosmetics, wearable tech, and treatment of damaged skin.

A high-performance, low-energy artificial synapse could support computers that better recreate the elegant way human brains process information.

New insights about the protective layers in chips could help build sturdier products.

A new study shows how harnessing the quantum properties of light can create a transmission technology impervious to eavesdropping.