Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

From creating lightweight yet durable prosthetics to designing new types of solar panels and batteries, materials engineers combine their expertise in physics, chemistry, biology, and engineering to ...

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 ...

Your second and third years have distinctive course requirements and electives. Here we can compare four related majors through select second and third year courses. MSE 2110 - Introduction to ...

In a recent webinar organized by the National Academy of Engineering in connection with its forthcoming Fall ...

The hope for quantum computers is that the devices will be able to solve complex tasks such as predicting how chemicals react or cracking encrypted text. One of the main reasons that the machines are ...

Discover how to build a simple solar cell at home using everyday materials! This step-by-step tutorial demonstrates how to repurpose an aluminum can, a CD, copper wire, toothpaste, lemon juice, and a ...

Since its establishment as the world’s first materials science academic department, Northwestern Engineering has led and defined the frontier of material research, enabling transformative technologies ...

An introductory course focused on the new and existing materials that are crucial for mitigating worldwide anthropogenic CO2 emissions and associated greenhouse gases. Emphasis will be placed on how ...