Continued challenges in high-throughput materials predictions: MatterGen predicts compounds from the training dataset
Mikkel Juelsholt
原始摘要(英文原文)· Original abstract
Artificial intelligence models for rapid materials prediction continue to face challenges with incorporating disorder and other crystallographic effects in their predictions, leading them to classify known materials as novel compounds.