Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...
Materials with advanced customized properties drive innovation in a number of real-life applications across various fields, such as information technology, transportation, green energy and health ...
An academia-industry collaboration developed a new sampling algorithm for Design of Experiment intending to democratize experimental design.
5don MSN
Machine learning workflow enables faster, more reliable organic crystal structure prediction
Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
The era has arrived in which artificial intelligence (AI) autonomously imagines and predicts the structures and properties of ...
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 ...
When machine learning is used to suggest new potential scientific insights or directions, algorithms sometimes offer ...
Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, ...
Brian Spears and colleagues built a generative machine learning model that was used to successfully predict the outcome of a recent fusion ignition experiment at the U.S. National Ignition Facility ...
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