Carnegie Mellon University Materials Science and Engineering Professor Liz Holm discusses using machine learning algorithms to search microstructure images for cracks, defects and rare features.

When we create products for the natural world, engineers and heat treaters tend to focus on making components that are stiff, strong and resistant to applied forces. Nature, on the other hand, chooses a different path, opting in general for objects that are highly flexible.

The essence of materials science and engineering is that every material must be made into a part by a process, which creates a multilevel structure.

ASM International announced that the NIST Material Measurement Laboratory and ASM, through its Computational Materials Data Network, have formed a collaboration: the Structural Materials Data Demonstration Project.