Carlos Avendano

Carlos Avendano is a Senior Lecturer in Chemical Engineering at the University of Manchester's School of Chemical Engineering and Analytical Science. His research focuses on computational modeling of materials at different time and length scales using molecular simulation techniques. Key areas include self-assembly of complex molecules, colloidal materials, liquid crystals, and transport properties prediction through machine learning.

Research spans molecular dynamics, statistical mechanics, and coarse-grained modeling with applications to phase behavior and interfacial phenomena. Recent work integrates machine learning with traditional physics-based approaches for fluid property prediction.

Collaborates internationally with institutions including Cornell University, Imperial College London, and University of Guanajuato. Manages the SAFTg Force Field project and studies nonconventional liquid crystals.

Teaches computational modeling courses and leads research on anisotropic colloidal particle assembly and transport property analysis via nonequilibrium molecular dynamics.