Artificial Intelligence and Machine Learning Are Used in Chemical Research

University of Washington researchers are combining machine learning, large language models, and data curation to automate chemistry and materials discovery processes.

The Role of Artificial Intelligence

While machine learning does not replace human intelligence, it surpasses human endurance to offer a helpful tool for chemistry and materials discovery. Strong in structure prediction, artificial intelligence also steps in during the actual production phase of materials.

Data Curation and Synthesis

Data curation constitutes the first major step where data is collected and transformed into a form that machine learning models can digest. The models require chemical synthesis recipes for molecule construction simulations.

Metal-Organic Frameworks

Researchers are using large language models to work on metal-organic frameworks that offer millions of potential variations. Trained like a graduate student, the artificial intelligence enables the discovery of new materials.

Dynamic Polymer Library

Scientists have developed an approach that automates a materials science library for dynamic polymers. These efforts aim to reduce manual trial-and-error times in the laboratory.