This website requires certain cookies to work and uses other cookies to help you have the best experience. By visiting this website, certain cookies have already been set, which you may delete and block. By closing this message or continuing to use our site, you agree to the use of cookies. Visit our updated privacy and cookie policy to learn more.
This Website Uses Cookies By closing this message or continuing to use our site, you agree to our cookie policy. Learn MoreThis website requires certain cookies to work and uses other cookies to help you have the best experience. By visiting this website, certain cookies have already been set, which you may delete and block. By closing this message or continuing to use our site, you agree to the use of cookies. Visit our updated privacy and cookie policy to learn more.
ASM International announced a collaboration with the Japanese Institute of Metals and Materials (JIM). The objective of this collaboration is to encourage the international exchange of knowledge and ideas regarding the materials science community. The initiative is an opportunity for each organization to expand both their network and their resources. JIM is an academic society that promotes the advancement of theory, science and industrial processes as it relates to metals and other materials. Materials Park, Ohio-based ASM International is the world’s largest association of materials-centric engineers and scientists dedicated to informing, educating and connecting the materials community to solve problems and stimulate innovation.
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.
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.