CHEM 50Computational Tools for Materials Modeling and Discovery
Chemistry and Biochemistry · 4 units · Undergraduate lower division (0-99)
Materials are central to many modern technologies, from industrial catalysis, to batteries, computer hard disks, and quantum computers. Computational modeling gains central stage in materials research and discovery, especially with emergence of artificial intelligence techniques and big data initiatives. Introduction to computational tools enabling materials modeling, analysis, predictions, and graphical visualization. Topics such as crystallography, solid state chemistry, and surface science are brought together to enable effective modeling of solid state. Basic concepts related to programming and scripting, and basis of computational chemistry included.
P/NP or letter grading.
When it runs
Not on the schedule for any of Fall 2025 through Spring 2027. UCLA publishes only that window, so this does not mean the course is gone — check the official listing.
Requisites
Official UCLA wording
Enforced requisite: course 14A or 20A or 20AH, with grade of C– or better.
Requires
Everything that has to come before this course, not just the courses named in the requisite above.
CHEM 50
- CHEM 14AGeneral Chemistry for Life Scientists I
- LIFESCI 30AMathematics for Life Scientists
- MATH 3ACalculus for Life Sciences Students
- CHEM 20AChemical Structure
- CHEM 20AHChemical Structure (Honors)
3 direct requisites. The whole upstream is here — 10 courses over 3 levels. Every course here opens its own tree.
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
No course in the catalog lists this as a requisite.