Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

Keysight Technologies has launched a new Machine Learning Toolkit within its Device Modelling Software Suite, designed to ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

Key TakeawaysThe Materials Project is the most-cited resource for materials data and analysis tools in materials science.The ...

Researchers from China University of Petroleum (East China), in collaboration with international partners, have reported a ...

Artificial intelligence/Machine Learning-driven modeling reduces time-to-market for faster Design Technology Co-Optimization ...

A team of researchers has successfully predicted abnormal grain growth in simulated polycrystalline materials for the first time -- a development that could lead to the creation of stronger, more ...

Two recent developments in artificial intelligence (AI) and machine learning have the potential to accelerate product development by streamlining materials research. Israel-based MaterialsZone, a ...

Literature searches, simulations, and practical experiments have been part of the materials science toolkit for decades, but the last few years have seen an explosion of machine learning-driven ...

Hydrogen storage is limited by high pressure or cold tanks. Metal hydrides offer efficiency. A large curated database reveals key atomic traits to guide design. (Nanowerk News) Hydrogen fuels ...