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Search Results
| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
MSEN 5377 (Overall) | |||||
MSEN 5377 Massimo Fischetti | |||||
Search Results
| Name | Grades | Rating | |||
|---|---|---|---|---|---|
Not teaching in Spring 2026 | |||||
MSEN 5377 (Overall) | |||||
MSEN 5377 Massimo Fischetti | |||||
Computational Physics of Nanomaterials
MSEN 5377
Erik Jonsson School of Engineering and Computer Science
This course introduces atomistic and quantum simulation methods and their applications to modeling study nanomaterials (nanoparticles, nanowires, and thin films). The course has three main parts: basic theory of materials (thermodynamics, statistical mechanics, and solid state physics), computational methods to model materials systems, and applications to practical problems. There are three main themes of the course: structure-property relationship of nanomaterials; atomistic modeling for atomic structure optimization; and quantum simulations for electronic structure study and functional property analysis. 3 credit hours.
Prerequisite: MSEN 6319 or equivalent.
Offering Frequency: Based on student interest and instructor availability
This professor/course combination hasn't been taught in the semesters you selected. To see more grade data, try changing your filters.
Grades: 0
Median GPA: None
Mean GPA: None
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Computational Physics of Nanomaterials
MSEN 5377
Erik Jonsson School of Engineering and Computer Science
This course introduces atomistic and quantum simulation methods and their applications to modeling study nanomaterials (nanoparticles, nanowires, and thin films). The course has three main parts: basic theory of materials (thermodynamics, statistical mechanics, and solid state physics), computational methods to model materials systems, and applications to practical problems. There are three main themes of the course: structure-property relationship of nanomaterials; atomistic modeling for atomic structure optimization; and quantum simulations for electronic structure study and functional property analysis. 3 credit hours.
Prerequisite: MSEN 6319 or equivalent.
Offering Frequency: Based on student interest and instructor availability
This professor/course combination hasn't been taught in the semesters you selected. To see more grade data, try changing your filters.
Grades: 0
Median GPA: None
Mean GPA: None
Click a checkbox to add something to compare.