Researchers from Duke University and associated partners have uncovered the atomic mechanics that render a group of substances, known as argyrodites, promising prospects for solid-state battery electrolytes and thermoelectric energy converters.
Their findings, made possible through a machine learning.
Machine learning is a subset of artificial intelligence (AI) that deals with the development of algorithms and statistical models that enable computers to learn from data and make predictions or decisions without being explicitly programmed to do so. Machine learning is used to identify patterns in data, classify data into different categories, or make predictions about future events. It can be categorized into three main types of learning: supervised, unsupervised and reinforcement learning.
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