Machine learning is revolutionizing fundamental science by tackling long-standing mathematical challenges. A key example is ...

Data on all known stable MAX phases were collected from experimental literature, and non-existent MAX phases were identified using existing first-principles results. Models such as the Random Forest ...

As a fundamental technology of artificial intelligence, existing machine learning (ML) methods often rely on extensive human intervention and manually presetting, like manually collecting, selecting, ...

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 ...