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

• Data extraction: manuel.tsotsalas@kit.edu

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

• All data required to train the models is contained in this repository.
• The code to train machine learning models for synthesis prediction can be found on https://github.com/aimat-lab/MOF_Synthesis_Prediction
• Contact for machine learning models: pascal.friederich@kit.edu