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License: MIT License

JavaScript 4.93% Python 32.97% HTML 55.01% Jupyter Notebook 7.09%

mof_literature_extraction's Introduction

MOF Literature Extraction

MOF Literature Extraction

Paper

MOF Synthesis Prediction Enabled by Automatic Data Mining and Machine Learning
Yi Luo, Saientan Bag, Orysia Zaremba, Jacopo Andreo, Stefan Wuttke, Pascal Friederich, and Manuel Tsotsalas
Basque Center for Materials, Applications & Nanostructures
Karlsruhe Institute of Technology

Contact

Introduction

The programs extract the MOF synthesis information from literature devided into 2 parts:

  • Publication Downloading
  • Literature Extraction

The first part is in Node.js and second part in developed in Python.

Data

mof_literature_extraction's People

Contributors

fliaght avatar pascalfriederich avatar tsotsalas-group avatar

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