Jidon Jang

Apr 30, 2024 | pubs.acs.org | Shuan Chen |Juhwan Noh |Jidon Jang |SeongMin Kim

ConspectusThe field of chemical research boasts a long history of developing software to automate synthesis planning and reaction prediction. Early software relied heavily on expert systems, requiring significant effort to encode vast amounts of synthesis knowledge into a computer-readable format. However, recent advancements in deep learning have shifted the focus toward AI models, offering improved prediction capabilities.

Apr 30, 2024 | dx.doi.org | Shuan Chen |Juhwan Noh |Jidon Jang |SeongMin Kim

ConspectusThe field of chemical research boasts a long history of developing software to automate synthesis planning and reaction prediction. Early software relied heavily on expert systems, requiring significant effort to encode vast amounts of synthesis knowledge into a computer-readable format. However, recent advancements in deep learning have shifted the focus toward AI models, offering improved prediction capabilities.