Machine learning in chemistry and beyond" (ChE-605) seminar by Mathieu Baltussen: Information processing with chemical reservoir computers
Event details
| Date | 14.10.2025 |
| Hour | 15:15 › 16:00 |
| Speaker | Mathieu Baltussen recently completed his PhD at the Institute for Molecules and Materials, Radboud University in the Netherlands. His research focused on information processing in chemical networks, resulting in the first reported chemical-based and protein-based reservoir computers. He also developed data-driven learning and optimization algorithms for synthetic enzyme pathways. Before his PhD he obtained cum laude double MSc degrees in physics and chemistry at Utrecht University and spent a year as an Erasmus research student investigating grain boundary dynamics in liquid crystals in the Colloid group at Oxford University. |
| Location | Online |
| Category | Conferences - Seminars |
| Event Language | English |
Chemical reaction networks, such as those found in metabolism and signalling pathways, enable cells to process information from their environment and perform computations. Recently, we reported on the creation of self-organizing chemical reaction networks that share similar computational capabilities. Using a physical reservoir computing approach, we demonstrate how these complex chemical systems can perform several nonlinear classification tasks in parallel, predict the dynamics of other complex systems and achieve time-series forecasting. We further evaluate the reservoir’s short-term memory by quantifying the predictive information of every compound in the network. Our work provides proof of principle for the emergent computational capabilities of complex chemical reaction networks, paving the way for a new class of biomimetic, intelligent materials and alternative forms of computational hardware.
Practical information
- General public
- Free
Organizer
- Victor Sabanza Gil, Edvin Fako, Philippe Schwaller