向使用无矩阵张量分解来系统地改进近似的张量网络

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Updated: Sep 8, 2025

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
09:33

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

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Karl Pierce1

  • 1Center for Computational Quantum Physics, Flatiron Institute, 162 Fifth Avenue, New York New York 10010, United States.

Journal of chemical theory and computation
|June 26, 2025
PubMed
概括

本研究引入了一种新的,通用的张量网络分解方法,以消除近似误差. 将正规的多态分解应用于单双激发计算的合集群,可以获得精确的化学能量,并降低计算成本.

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