Semester.ly

Johns Hopkins University | EN.540.658

Modeling and Design of Sustainable Chemical Processes

3.0

credits

Average Course Rating

(4.46)

This course will survey many of the techniques used to design catalysts and adsorbents using theory and atomistic simulations applicable to both computational and experimental students. The techniques covered include Density Functional Theory (DFT), Monte Carlo, Molecular Dynamics, and Microkinetic Modeling. Linear free energy relationships, Bronsted-Evans-Polanyi relationships, entropy scaling relationships, and new data-science approaches will be used to describe how optimal catalysts/adsorbents can be designed from atomistic simulations.

Spring 2023

Professor: Brandon Bukowski

(4.46)