Design expert Professor Markus J. Buehler outlines the top methodologies in materials informatics

Discover the methodologies revolutionizing materials design

Months. Even years. The analysis and design of materials is typically a lengthy process. But the status quo is shifting. Materials informatics tools—powered by techniques such as machine learning—are optimizing the manufacturing process, helping enterprises create breakthrough products at lightning speed. Better still, materials informatics tools use far fewer resources—a promising sign for the future of sustainable manufacturing.

Eager to learn more? In a new article for LinkedIn, renowned materials design expert Professor Markus J. Buehler outlines the top methodologies in materials informatics today—from materiomics to computer vision—and how they can be used to solve a range of manufacturing challenges. Read it here: https://www.dhirubhai.net/pulse/top-ten-methodologies-materials-informatics-examples-how-buehler/?trackingId=dUjSEpxWSiWT2vf%2FRyIcZA%3D%3D

Master the latest materials informatics strategies this summer

Looking to tap into Professor Buehler’s expertise firsthand? Join him for his high-impact live virtual course, Machine Learning for Materials Informatics (July 31–Aug. 3, 2023).

Markus J. Buehler is the McAfee Professor of Engineering at MIT. A frequent industry collaborator, his primary research interest lies in identifying and applying innovative approaches to design better materials from less, using a combination of high-performance computing and AI, new manufacturing techniques, and advanced experimental testing. He directs the Laboratory for Atomistic and Molecular Mechanics, and is principal investigator on numerous national and international research programs.