Key TakeawaysThe Materials Project is the most-cited resource for materials data and analysis tools in materials science.The ...
Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...
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 ...
Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...
Discover how a new machine learning method can help scientists predict which MOF structures are good candidates for advanced ...
For his research in machine learning-based electron density prediction, Michigan Tech researcher Susanta Ghosh has been recognized with one of the National Science Foundation's highest honors. The NSF ...
Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
How can artificial intelligence (AI) machine learning models be used to identify new materials? This is what a recent study published in Nature hopes to address as a team of researchers investigated ...
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 ...
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