The Data Science and Modeling for Green Chemistry award aims to recognize the research and development of computational tools that guide the design of sustainable chemical processes and the execution ...

UD’s interdisciplinary graduate traineeship provides students with key communication and technical skills needed to address complex, real-world problems With over 350,000 commercially available ...

Computational Chemistry is the study of complex chemical problems using a combination of computer simulations, chemistry theory and information science. Also called cheminformatics, this field enables ...

In the past few years, researchers have turned increasingly to data science techniques to aid problem-solving in organic synthesis. The software adapts key principles of Bayesian Optimization (BO) to ...

To apply for the Computational and Data-Enabled Sciences PhD program, students should hold a master's degree in a related field, including but not limited to engineering, computer science, mathematics ...

Purdue’s innovative Master of Science in Data Science (MSDS) is an accessible, skills-focused master’s designed to meet the needs of professionals who have some background in data science and want to ...

The faculty members who make up Saint Louis University’s Department of Chemistry are highly regarded in their fields. They are known for their extensive research across a diverse group of specialties ...

2024 - Bristol-Meyers Squibb was awarded for “PMI Prediction and Bayesian Optimization: Two Tools with One Goal Towards the Development of ‘Greener-by-Design’ Synthesis of APIs” Read more about BMS’s ...