A massive new database of dielectric material properties could speed up the development of electronics like smartphones and energy storage systems. AI-driven materials discovery has great potential to ...

Materials databases lie at the heart of future data-driven discovery in energy-related fields, say researchers from Tohoku University. In an article published in the journal Precision Chemistry, they ...

For the U.S. Army Reserve’s 88th Readiness Division, the best way to effectively manage hazardous materials inventories and provide immediate access to safety data sheets came down to a simple choice: ...

Nanoengineers have developed an AI algorithm that predicts the structure and dynamic properties of any material -- whether existing or new -- almost instantaneously. Known as M3GNet, the algorithm was ...

The National Institute for Materials Science (NIMS) has been developing the DICE materials data platform* 1 to fulfill its role as a data core center in the MEXT-led project to develop materials DX ...

New technology often calls for new materials -- and with supercomputers and simulations, researchers don't have to wade through inefficient guesswork to invent them from scratch. New technology often ...

Compared to metals such as aluminum and steel, the number of stiffness and strength properties associated with polymer matrix composites (PMCs) is extensive. For metals, these mechanical properties ...

This is a particular problem for smaller aircraft manufacturers who have neither the budget to develop the required databases, nor access to those generated by larger organizations, often in support ...

Over the past three years, we’ve seen the emergence of two dominant themes relating to unpredictable market demand, prices and materials: the need to reduce risk, and to optimize supply chains. SAP ...