Shifting computational boundaries for complex organic materials

TL;DR

This paper discusses how data science methodologies and AI applied to materials databases can predict properties of complex organic crystals, advancing materials informatics.

Contribution

It introduces a novel approach to applying AI to materials databases for predicting complex organic crystal properties.

Findings

AI enables accurate property prediction for organic crystals

Materials databases are crucial for materials informatics

Methodology improves prediction efficiency

Abstract

Methodology adapted from data science sparked the field of materials informatics, and materials databases are at the heart of it. Applying artificial intelligence to these databases will allow the prediction of properties of complex organic crystals.