For Buckeye faculty and students, the school year is well underway, but so is on-campus construction. A new complex is soon to be established on Ohio State’s Columbus campus, with updated facilities ...

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.

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 ...

Think twice about eliminating those pesky ants at your next family picnic. Their behavior may hold the key to reinventing how ...

Materials are a necessity for all engineering applications. Materials science and engineering seeks to understand the fundamental physical origins of material behavior in order to optimize properties ...

Hopkins professor Kamal Choudhary has created a new AI tool for materials scientists, providing accurate answers to complex ...

Underground infrastructure must meet exacting performance demands, starting with the right materials. We'll explore how cutting-edge material science is driving stronger, lighter, and more sustainable ...

Metal-organic frameworks (MOFs) are a novel class of nanoporous materials that have attracted significant attention due to their facile tunability in structure and chemistry. MOFs have already been ...

Several types of waste materials can be effectively reused and recycled for a sustainable and environmentally friendly alternative to traditional materials, which leads to the conservation of those ...

Each year, Georgia quarries generate millions of tons of leftover byproducts called pond screenings, much of which sits ...