Data Analytics and What It Means to the Materials Community: Proceedings of a Workshop

by Division on Engineering and Physical Sciences, National Materials and Manufacturing Board, National Academies of Sciences Engineering and Medicine, et al.

Emerging techniques in data analytics, including machine learning and artificial intelligence, offer exciting opportunities for advancing scientific discovery and innovation in materials science. Vast repositories of experimental data and sophisticated simulations are being utilized to predict material properties, design and test new compositions, and accelerate nearly every facet of traditional materials science. How can the materials science...

• Format: Paperback
• Language: English
• ISBN: 030966408X
• ISBN13: 9780309664080
• Release Date: September 2021
• Publisher: National Academies Press
• Length: 82 Pages