Harnessing the power of machine learning, scientists have developed a material testing technique that improves the accuracy of a previous technique used in manufacturing. Nano-indentation is a ...

With machine learning, ... “We want to take materials and chemical data and use them effectively to design new materials and improve manufacturing,” says Greg Mulholland, ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Material science, at its core, is an interdisciplinary field focusing on the discovery ...

Machine Learning: The conventional alloy design process is multistage and thus multivariable, leading to tremendous effort. Further, alloy design is also about meeting a well-defined target of ...

More information: Ran An et al, New Ways to Discover Novel Nonlinear Optical Materials: Scaling Machine Learning with ...

Researchers at the University of Toronto’s Faculty of Applied Science & Engineering have used machine learning to design nano-architected materials that have the strength of carbon steel but the ...

Machine learning takes materials modeling into new era. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2023 / 07 / 230707111625.htm ...

Machine learning models process input data, such as an image, and generate outputs, like identifying the shapes present in ...

Novel machine learning model can predict material failure before it happens. ScienceDaily . Retrieved June 11, 2025 from www.sciencedaily.com / releases / 2025 / 04 / 250416135453.htm ...