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Paolo Elvati

Paolo Elvati

Associate Research Scientist, Mechanical Engineering


3005 EECS
1301 Beal, Ann Arbor, MI 48109

Phone: (734) 936-0575

Research Interests

Nanoparticle formations and interactions using computational tools (Molecular Dynamics, Machine Learning, Stochastic Solvers), with particular emphasis on biological systems, non-thermal plasma and reactive gas-phase conditions. Applications include drug transport, bacterial biofilms control, combustion, ultra-soft materials, and low temperature plasma.

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.