Stanford Root

Schedule

Stanford Root

Schedule

APPPHYS 214

Experimental Methods for Quantum Materials

UNITS:3
GRADING:Letter or Credit/No Credit
LEVEL:Graduate
GER:—

This course provides a pedagogical and experiential introduction to the experimental methods that are used for the study of quantum materials. The goals of this course are to provide the foundational experimental skills for students interested in experimental materials research and exposure to experimental methods for theoretically inclined students so that they may have a better understanding of published experimental work and the limitations in experimental methods.

Syllabus for selected term:
View Spring 2027 Syllabus

Sections

1 Term
Lecture 1Open
ID: 26792
0 / 30 enrolled
DAYS:Monday, Wednesday
TIME:1:30 PM – 3:20 PM
LOCATION:TBD
INSTRUCTOR:
Suzuki, Yuri, Kapitulnik, Aharon
3units

APPPHYS 214: Experimental Methods for Quantum Materials

3 units · Letter or Credit/No Credit

This course provides a pedagogical and experiential introduction to the experimental methods that are used for the study of quantum materials. The goals of this course are to provide the foundational experimental skills for students interested in experimental materials research and exposure to experimental methods for theoretically inclined students so that they may have a better understanding of published experimental work and the limitations in experimental methods.

Offered in Spring 2027 at Stanford University.

Spring 2027 sections

  • Lecture — Monday Wednesday 1:30 PM – 3:20 PM — Suzuki, Yuri, Kapitulnik, Aharon (Graduate)

More APPPHYS courses

  • APPPHYS 190: Independent Research and Study
  • APPPHYS 201: Electrons and Photons (PHOTON 201)
  • APPPHYS 203: Atoms, Fields and Photons
  • APPPHYS 204: Quantum Materials
  • APPPHYS 205: Introduction to Biophysics (BIO 126, BIO 226)
  • APPPHYS 207: Laboratory Electronics
  • APPPHYS 220: Advanced Topics in Accelerator Physics
  • APPPHYS 222: Principles of X-ray Scattering (PHOTON 222)
  • APPPHYS 223: Stochastic and Nonlinear Dynamics (BIO 223, BIOE 213, PHYSICS 223)
  • APPPHYS 228: Quantum Hardware
  • APPPHYS 229: Statistical Mechanics of Learning and Computation
  • APPPHYS 230: Renormalization Group and Randomness

All APPPHYS courses · All departments