For the first time, researchers have used machine learning—a type of artificial intelligence (AI)—to identify the most ...
illustrating the comprehensive zero-shot benchmark of 19 universal machine learning interatomic potentials and the dominant impact of training data composition for surface energy prediction. A ...
Prof. JIANG Bin’s research team at the University of Science and Technology of China (USTC) developed a universal field-induced recursively embedded atom neural network (FIREANN) model, which can ...
Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...
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