Machine Learning Uncovers Secrets of Argyrodites
Researchers at Duke University, along with their partners, have discovered the atomic mechanics behind a grouping of substances known as argyrodites. These materials are promising candidates for thermoelectric energy converters and solid-state batteries.
Machine learning has enabled them to make their findings.
Machine learning is an artificial intelligence subset that involves the development of statistical models and algorithms that allow computers to learn and predict from data without having to be explicitly programmed. Machine learning can be used to recognize patterns in data or classify it into different categories. It can also make predictions for future events. Three main types of learning can be identified: supervised learning, unsupervised learning and reinforcement learning.
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Energy Breakthrough – Machine Learning Unravels Secrets of Argyrodites
