By applying machine learning techniques, engineers at MIT have created a new method for 3D printing metal alloys that produce ...

Researchers at the Indian Institute of Science (IISc), with collaborators at University College London, have developed machine learning-based methods to predict material properties even with limited ...

Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

Engineers at the Massachusetts Institute of Technology have designed a new aluminum alloy that can be 3D printed and reach roughly five times the strength of standard cast aluminum used in everyday ...

Machine learning tools can accelerate all stages of materials discovery, from initial screening to process development.

Artificial Intelligence and its related tools, such as machine learning, deep learning, and neural networks, are revolutionizing every field of life. The domain of materials science and engineering is ...

Using AI and machine learning as transformative solutions for semiconductor device modeling and parameter extraction.

Material science, at its core, is an interdisciplinary field focusing on the discovery and design of new materials. It combines elements of physics, chemistry and engineering to understand and ...

Materials testing is critical in product development and manufacturing across various industries. It ensures that products can withstand tough conditions in their ...

Engineered enzymes are poised to have transformative impacts across applications in energy, materials, biotechnology, and medicine. Recently, machine learning has emerged as a useful tool for enzyme ...