Data science enables X-ray vision

doi:10.1016/j.patter.2022.100660

2022-12-01

David A. Santos

Binbin Lin *

Justin L. Andrews *

DOI：10.1016/j.patter.2022.100660

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摘要

En 中文

In their recent publication in Patterns, the authors proposed a novel workflow to derive compositional and stress maps for positive electrode materials of Li-ion batteries from hyperspectral X-ray imaging data. They describe their interdisciplinary collaboration, the elements that sustain such collaborations, and their effect on the flourishing of the domain and data science.

Keyword:

PHASE-SEPARATION

PARTICLES

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期刊

Patterns

IF:

7.4

论文数:

949

被引数:

3.6K

机构

Texas A&M University System

学者数:

4.4W

论文数: 4.0W

被引数: 4.0K

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