Skip to content

Paolo Elvati

Paolo Elvati

Associate Research Scientist, Mechanical Engineering


3005 EECS
1301 Beal, Ann Arbor, MI 48109

Phone: (734) 936-0575

Research Interests

Cellular membranes of human cells and several classes of small pollutants/drug-like molecules (e.g., carbonaceous nanoparticles, dendrimers, surfactants); Develop a procedure to automatically reduce the complexity of extended kinetic reaction network employing biased MD and AIMD.

Faculty Type


Related News

Violi's Group Publishes Article at NIPS on Machine Learning
Prof. Violi and Prof. Hero’s (U-M EECS) groups have recently joined forces and developed a data-driven sparse learning approach to model reduction in chemical reaction networks.