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An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Papers: 10.1038/s41597-020-0474-y

https://doi.org/10.1038/s41597-020-0474-y

High-throughput screening platform for solid electrolytes combining hierarchical ion-transport prediction algorithms

Cited by: 87
Author(s): Bing He, Shuting Chi, Anjiang Ye, Penghui Mi, Liwen Zhang, Bowei Pu, Zheyi Zou, Yunbing Ran, Qian Zhao, Da Wang, Wenqing Zhang, Jing‐Tai Zhao, Stefan Adams, Maxim Avdeev, Siqi Shi
Published: about 5 years ago

Software Mentions 5

pypi: atomate
atomate has implementations of FireWorks workflows for Materials Science
Papers that mentioned: 5
Very Likely Science (100)
pypi: Django
A high-level Python web framework that encourages rapid development and clean, pragmatic design.
Papers that mentioned: 155
Very Likely Science (65)
pypi: FireWorks
FireWorks workflow software
Papers that mentioned: 14
Very Likely Science (100)
pypi: NEB
Namespace package for NEB projects.
Papers that mentioned: 36
Very Likely Science (80)
pypi: pymatgen
Python Materials Genomics is a robust materials analysis code that defines core object representations for structures and molecules with support for many electronic structure codes. It is currently the core analysis code powering the Materials Project (https://materialsproject.org).
Papers that mentioned: 47
Very Likely Science (90)