Automated Modelling of Material Chemistry Applying
High-Throughput Formulation and Machine Learning

Derya Dispinar

Mini Review

Automated Modelling of Material Chemistry Applying High-Throughput Formulation and Machine Learning

Yannik Schuchmann¹, Christian Schmitz¹, Lasse Wagner², Carmen Stoffelen-Janßen² and Jost Göttert²*

¹Institute for Coatings and Surface Chemistry, University of Applied Sciences Niederrhein, Germany

²Institute for Surface Technology, University of Applied Sciences Niederrhein, Germany

Corresponding Author

Received Date: January 05, 2021; Published Date: January 19, 2021

Abstract

Chemical material development belongs to the fields chemical synthesis of raw materials and formulation of products like plastics, adhesives, coatings, composites, etc. The improvement of material behavior is based on wide range of chemical structures fulfilling the conditions of the application.

Article Details

Citation

Yannik Schuchmann, Christian Schmitz, Lasse Wagner, Carmen Stoffelen-Janßen and Jost Göttert . Automated Modelling of Material Chemistry Applying High-Throughput Formulation and Machine Learning. Mod Concept Material Sci. 3(4): 2021.