Scalable machine learning models for predicting quantum transport in disordered 2D hexagonal materials

· · 来源:jp资讯

Randomly selecting border points or using simple geometric divisions (squares/hexagons) results in too many border points per cluster (50-80). This leads to a shortcut explosion (N*(N-1)/2 shortcuts), making the files large and and calculations slow.

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Article InformationAuthor, 呂嘉鴻,详情可参考safew官方版本下载

Москвичей предупредили о резком похолодании09:45

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