• Epitaxial growth - graphene - quantum material - ab-initio simulation
  • ab-initio Quantum MD Simulation; thermoelectric material
  • Developing our Physics GTA Preparation course
  • Exact solutions for interacting spinful 2D fermions; quantum skyrmions
Welcome

The School of Physics offers programs of study leading to B.S., M.S. and Ph.D. degrees. The School is comprised of 44 faculty members, 225 undergraduate majors (one of the largest programs in the United States) and 130 graduate students.

The Howey Physics Building is comprised of 26,000 sq. ft. of instructional space (classrooms and laboratories), 156,000 sq. ft. of research laboratory space, and adequate office space for faculty, post-doctoral fellows, graduate students and visitors.

Undergraduate

With a degree from the Georgia Tech School of Physics, you'll have the tools you need to succeed whether you decide to go to graduate school or into the industry after graduation. The Bachelor of Science in Physics prepares students for physics graduate programs while the Bachelor of Science in Applied Physics is better suited for entry into industry or preparation for graduate study in some other discipline.

The School of Physics also offers Astrophysics Certificate and Astrophysics Concentration.

Graduate

The graduate program in the School of Physics provides the background and training needed to conduct and complete high quality, world-recognized research. Moreover, owing to the experiences we offer for supervised teaching of undergraduate laboratory courses, graduate students from diverse backgrounds develop into creative physicists who can function effectively in educational, industrial or government laboratory settings. Successful completion of the Ph.D. program in Physics requires (a) completion of course work, (b) participation in seminars and Special Problems, (c) acceptance into Ph.D. candidacy, and (d) thesis research.

Events

Oct
18
Collapse of the Collapse: Physicists Return to Reality
Oct
20

Quantifying entanglement and detecting Kardar-Parisi-Zhang transport in spin chains using neutron scattering

Oct
20

Speaker Mike Graham Overview: Data-driven dimension reduction, dynamic modeling, and control of complex chaotic systems

Our overall aim is to combine ideas from dynamical systems theory and machine learning to develop and apply reduced-order models of flow processes with complex chaotic dynamics. A particular aim is a minimal description of dynamics on manifolds of dimension much less than the nominal state dimension and use of these models to develop effective control strategies for reducing energy dissipation.

 

News

Interim Chair Michael Schatz gave the annual State of the School address on August 30, 2021.

Sep 17 2021

At the opening ceremony of this summer’s Tokyo Olympics, a fleet of 1,824 drones flew above the s

Aug 05 2021

Please note that these interviews were conducted, and photos were taken, during the summer se

Aug 03 2021

Jennifer Leavey and Carrie Shepler have accepted appointments a

Jul 09 2021

Laura Cadonati has been appointed as the new associate dean for Research in the

Jul 08 2021