Interview with: Professors Richard Fujimoto and Surya Kalidindi from Georgia Tech
Researchers have combined big data and machine learning to selectively design gas-filtering polymer membranes to reduce greenhouse gas emissions.
Scientists have used a novel technique called lensless microscopy to uncover previously unknown abilities in nickel and barium hexaferrite.
A new design principle can predict whether metallic compounds are likely to host topological states that arise from strong electron interactions.
Using quantum mechanical models, researchers have more accurately predicted how amorphous carbon conducts electricity and absorbs light.
Using algae as a building material.