AI-Accelerated Organic Synthesis
Event details
| Date | 25.05.2023 |
| Hour | 17:30 › 20:30 |
| Speaker | Professor Philippe Schwaller Laboratory of Artificial Chemical Intelligence (LIAC) |
| Location | Online |
| Category | Conferences - Seminars |
| Event Language | English |
AI-accelerated Organic Synthesis is an emerging field that uses machine learning algorithms to improve the efficiency and productivity of chemical synthesis. Modern machine learning models, such as large language models, can capture the knowledge hidden in large chemical databases to rapidly design and discover new compounds, predict the outcome of reactions, and help optimise chemical reactions. One of the key advantages of AI-accelerated organic synthesis is its ability to make vast chemical data accessible and predict promising candidate synthesis paths, potentially leading to breakthrough discoveries. Overall, AI is poised to revolutionise the field of organic synthesis, enabling faster and more efficient drug development, catalysis, and other applications.
AGENDA:
17.30 Opening
17.45 Lecture
18.30 Aperitif
REGISTRATION: bit.ly/3L7x5GU
Practical information
- General public
- Free
Organizer
- Institute of Chemical Sciences and Engineering (ISIC)
Contact
- Marta Ruiz Cumi: [email protected]