Research Overview

Background and Expertise

SOM-C specializes in workflow automation, AI-driven optimization, automated chemical synthesis, and Electronic Lab Notebooks (ELN). Our expertise ensures reproducible and efficient synthesis, enhanced by AI-driven process control and real-time reaction monitoring.

Founders and Focus

Founded by Dr. Sooyeon Moon and Dr. Sourav Chatterjee, SOM-C focuses on developing advanced automated synthesis platforms to improve efficiency, reproducibility, and data-driven optimization in chemical processes.

Key Research Areas

1. Workflow Automation, Control & Synthetic Protocols

Automated Synthesis Platforms: We have developed modular flow chemistry systems that enable real-time reaction monitoring while protecting proprietary synthetic protocols.

Notable Achievements:

Automated Radial Synthesis of Organic Molecules: S. Chatterjee, Nature, 2020, 579 (7799), 379-384.

Modular Continuous Flow Device: S. Chatterjee, US Patent 11,731,101 (2023)  and other international patents.

Combining Radial and Continuous Flow Synthesis: S. Moon, React. Chem. Eng., 2021, 6 (2), 220-224.

Understanding Glycosylation Reactions: S. Chatterjee, S. Moon, JACS, 2018, 140 (38), 11942-11953.

2. AI-Driven Process Optimization & Data Management

Machine Learning Applications: Our expertise in machine learning enables predictive modeling and process optimization for chemical synthesis.

Notable Achievements:

Predicting Glycosylation Stereoselectivity: S. Moon, S. Chatterjee, Chem. Sci., 2021, 12 (8), 2931-2939.

Swiss CAT Plus: A data-driven infrastructure for catalyst discovery and optimization: S. Chatterjee, Chimia, 2022, 77 (3), 154-158. 

Future Directions

Our current project aims to develop a robust automation platform for material synthesis by advancing automated synthesis, structured synthetic protocol management, and real-time process control. This will enhance efficiency and predictive capabilities while exploring how automation and AI-driven insights can support collaborative environments.