https://github.com/cmelab/perspectives-cogload-data-availability

Data for paper https://doi.org/10.1016/j.commatsci.2019.109129

https://github.com/cmelab/perspectives-cogload-data-availability

Science Score: 23.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 2 DOI reference(s) in README
  • Academic publication links
    Links to: zenodo.org
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (3.6%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Data for paper https://doi.org/10.1016/j.commatsci.2019.109129

Basic Info
  • Host: GitHub
  • Owner: cmelab
  • Default Branch: master
  • Homepage:
  • Size: 3.91 KB
Statistics
  • Stars: 0
  • Watchers: 2
  • Forks: 1
  • Open Issues: 0
  • Releases: 0
Created about 7 years ago · Last pushed about 7 years ago

https://github.com/cmelab/perspectives-cogload-data-availability/blob/master/

[![DOI](https://zenodo.org/badge/178739973.svg)](https://zenodo.org/badge/latestdoi/178739973)

# Links to data
* [Data for Simplified Models for Accelerated Structural Prediction of Conjugated Semiconducting Polymers](https://scholarworks.boisestate.edu/cme_lab/2/)
* [Molecular Dynamics Data for Optimization and Validation of Modeling Techniques for Predicting Structures and Charge Mobilities of P3HT](https://scholarworks.boisestate.edu/cme_lab/4/)
* [Machine Learning for Structure-Performance Relationships in Organic Semiconducting Devices](https://scholarworks.boisestate.edu/cme_lab/3/)
* [Data For New Methods for Understanding and Controlling the Self-Assembly of Reacting Systems Using Coarse-Grained Molecular Dynamics](https://doi.org/10.5281/zenodo.2619706)

Owner

  • Name: Computational Materials Engineering Laboratory
  • Login: cmelab
  • Kind: organization
  • Location: Boise, ID

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