Complex Adaptive Systems Research Group GISCA IPC
Chemistry and Process Intensification
- Artificial intelligence applied to processes (AI/ML)
- Process intensification (reaction–separation processes)
- Multiphase systems (hydrogels, polymer-assisted membrane systems, among others)
Environmental and Social Systems
- Monitoring of social and environmental systems
- Environmental management
- Water resource and water quality modeling
Research projects and outputs
1. Physics-informed modeling of steady-state solvent mass transfer in polymer-containing ultrafiltration under agitation
Use of machine learning (ML) models (PINN, Physics-informed Neural Networks; ANN, Artificial Neural Networks) to predict mass transfer processes in membrane systems.
2. A Simple Method for Porous Structure Characterization of Ultrafiltration Membranes from Permeability Data and Hydrodynamic Models: A Semi-Empirical Approach
New characterization techniques for membrane systems used in green chemistry separations.
3. Monitoreo integrado en socioecosistemas de alta montaña: análisis a escala de paisaje en la cuenca del río Claro, Colombia
Report on the state and dynamics (RED) of an emblematic high-mountain watershed: the Río Claro, in the department of Caldas.
4. Reporte de estado y dinámica de los sistemas ecológicos y sociales de la cuenca de Río Claro
Pilot program of the high-mountain socio-ecosystem monitoring strategy led by the Humboldt Institute, IDEAM, and CONDESAN, and coordinated at the landscape scale by the IPC.
7. An Approximation to Mechanics and Mass Transport in Polymer-based Hydrogel Systems
Continuum modeling of polymer-based hydrogel systems (PHGS).
8. Lineamientos de monitoreo hidroclimático a escala de paisaje en socioecosistemas de alta montaña en Colombia
Contributions to the integrated high-mountain socio-ecosystem monitoring strategy for developing the hydroclimatic component and quantifying water supply as an ecosystem service.