Large AI models can speed catalyst discovery by predicting performance before synthesis

Artificial intelligence (AI) is transforming the way scientists discover and design new materials. In a specially invited review published in Angewandte Chemie International Edition, Tohoku University ...
mccormick.northwestern.edu

Machine Learning Used to Predict Synthesis of Complex Novel Materials

Scientists and institutions dedicate more resources each year to the discovery of novel materials to fuel the world. As natural resources diminish and the demand for higher value and advanced ...
C&EN

Synthesis-planning program relies on human insight and machine learning

Computer-aided synthesis planning (CASP) programs aim to replicate what synthetic chemists do when tackling a synthesis: start with a target molecule and then work backwards to trace a synthetic route ...
Semiconductor Engineering

Machine Learning Drives High-Level Synthesis Boom

High-level synthesis (HLS) is experiencing a new wave of popularity, driven by its ability to handle machine-learning matrices and iterative design efforts. The obvious advantage of HLS is the boost ...
C&EN

Automation for the people: Training a new generation of chemists in data-driven synthesis

PhD students Oliver Newton and Lenka Cuprova use automated synthesis equipment. At Imperial College London, a new PhD-training program will teach students like Oliver Newton (left) and Lenka Cuprova ...