Abstract In the age of artificial intelligence,scientific and innovative talents must be equipped with the capability to address scientific problems through computational thinking.Chemical kinetics simulation is introduced to the physical chemistry laboratory courses for pharmacy majors.Using Python,first-order reaction and consecutive reaction are employed as case studies to systematically explain the fundamental concepts and methodologies of scientific computing and modeling.Meanwhile,students are guided to perform kinetic simulations of enzymatic reactions and verify the Michaelis-Menten equation.This teaching practice breaks through the skill-based training mode and time-space constraint of traditional experiments,enhances students’ understanding of kinetic laws governing complex systems,and thereby achieves the goal of cultivating interdisciplinary innovative talents.
ZHANG Hao. Integration of Scientific Computing and Modeling Within Chemical Kinetics Teaching Practices by Python Language[J]. Chinese Journal of Chemical Education, 2026, 47(6): 112-119.
