Tiny molecules that can think, remember, and learn may be the missing link between electronics and the brain. For more than ...

Princeton Engineering researchers are combining their expertise in chemical engineering, materials and computation to design crystalline materials that can be used to mitigate pollution or make ...

Material science, at its core, is an interdisciplinary field focusing on the discovery and design of new materials. It combines elements of physics, chemistry and engineering to understand and ...

Dhruv Shenai investigates how machine learning and lab automation are transforming materials science at Cambridge ...

Two-dimensional materials are expected to revolutionize the semiconductors industry. However, despite multiple studies that have reported prototype devices with promising properties for sensing and ...

Researchers have created protonic programmable resistors -- the building blocks of analog deep learning systems -- that can process data 1 million times faster than the synapses in the human brain.

To apply for the Computational and Data-Enabled Sciences PhD program, students should hold a master's degree in a related field, including but not limited to engineering, computer science, mathematics ...