MESOSCALE MODELING OF MATERIALS

Prerequisites & course information

Requisites: ( MATH 319 , 320 , or 376 ) and ( M S & E 350 , 351 , or CBE 440 ), graduate/professional standing, or member of Engineering Guest Students Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Spring 2025 Learning Outcomes: 1. Apply the theory of irreversible dynamics to analyze many important kinetic processes of materials such as transport, phase transitions, and chemical reactions Audience: Both Grad & Undergrad 2. Computationally model exemplary mesoscale problems in materials research Audience: Both Grad & Undergrad 3. Analyze results from a computational model and extract useful understanding from it Audience: Both Grad & Undergrad 4. Solve several representative types of partial differential equations using both analytical methods and numerical algorithms Audience: Both Grad & Undergrad 5. Apply these analytical methods and numerical algorithms to students’ own research Audience: Graduate Learning Outcomes: 1. Apply the theory of irreversible dynamics to analyze many important kinetic processes of materials such as transport, phase transitions, and chemical reactions Audience: Both Grad & Undergrad 2. Computationally model exemplary mesoscale problems in materials research Audience: Both Grad & Undergrad 3. Analyze results from a computational model and extract useful understanding from it Audience: Both Grad & Undergrad 4. Solve several representative types of partial differential equations using both analytical methods and numerical algorithms Audience: Both Grad & Undergrad 5. Apply these analytical methods and numerical algorithms to students’ own research Audience: Graduate