Machine learning and AI technologies are the major players in developing efficient new methods to solve critical issues for both industry and academia in a chemical world where there is an unrelenting focus on productivity, coupled with the need to be safe and sustainable. Data quality and the ability to effectively manage scientific information are the keys to enable successful innovation. A strong data foundation is critical to train models and algorithms, and gain novel insights.<br/>In this talk we will showcase the value of pairing expert chemistry knowledge with high-quality content in achieving successful results in predictive R&D initiatives.

Would you power a rocket with old frying oil? High-quality data and deep chemistry knowledge as key drivers for successful ML/AI projects

Fall 2022 abstracts, posters, and presentations will launch in mid-September.

ACS Fall 2022

The official archive and repository for all ACS Meetings & Expositions abstracts and select posters or presentations.