Research Areas in the School of Physics:

  • Atomic, Molecular and Chemical Physics
  • Biophysics
  • Computational Physics
  • Condensed Matter and Materials Physics
  • Non-Linear Dynamics and Statistical Physics
  • Mathematical Physics
  • Optical: Classical & Quantum
  • Physics Education
  • Sub-Atomic Physics

Sub-communities within this community

  • Center for Relativistic Astrophysics (CRA) [5]

    The Center for Relativistic Astrophysics (CRA) is devoted to interdisciplinary research and education linking astrophysics, astroparticle physics, numerical relativity and gravitational wave physics.

Collections in this community

Recent Submissions

  • Evolution of Novel Material Properties and the Emergence of Group-Level Heritability in the Transition to Multicellularity 

    Zamani Dahaj, Seyed Alireza Zamani (Georgia Institute of Technology, 2021-05-20)
    Evolutionary Transitions in Individuality (ETIs) describe the history of increasing complexity of life and emergence of hierarchical organization in an elegant framework. Each transition is characterized by a group of ...
  • A Mathematical Study of Periodic Structures inspired by Soft Matter Systems: The QTZ-QZD Family of Triply-Periodic Minimal Surfaces and Doubly-Periodic Weft-Knitted Textiles 

    Markande, Shashank Ganesh G. (Georgia Institute of Technology, 2021-01-22)
    In this thesis, we study mathematical objects that are periodic and arise as ordered states in soft matter systems. Motifs resembling triply-periodic minimal surfaces and their constant mean curvature variants are found ...
  • Versatile Spin-Wave Approaches to the Spin Dynamics of Transition-Metal Insulators 

    Ge, Luwei (Georgia Institute of Technology, 2020-03-16)
    Quantum magnetism is one of the most important branches in condensed matter physics because it serves as an excellent platform to realize model quantum many-body systems which are difficult to find elsewhere. Good understanding ...
  • Dynamics of Mixed Binary Mergers using Numerical Relativity Simulations 

    Khamesra, Bhavesh (Georgia Institute of Technology, 2021-05-10)
    Neutron star black hole (NSBH) mergers have captured the interest of physicists for more than 50 years. The study of these objects can provide valuable insights to understand the origins of heavy elements in the universe, ...
  • HYALURONAN POLYMER BRUSH STRUCTURE, TOPOGRAPHICAL CONTROL, AND ITS RESPONSE TO THE ENVIRONMENT: CHARACTERIZING A NOVEL ULTRA-THICK BIOMATERIAL 

    Faubel, Jessica (Georgia Institute of Technology, 2021-04-29)
    Polymer brushes are dense assemblies of end-grafted polymers which have a wide range of applications in lubrication, colloidal stabilization, surface functionalization, and fundamental polymer physics. This thesis focuses ...
  • A Multimessenger Approach to Neutrino Astronomy 

    Tung, Chun Fai (Georgia Institute of Technology, 2021-04-27)
    The discovery of a diffuse astrophysical neutrino flux by Icecube Neutrino Observatory marked the beginning of neutrino astronomy. Since then, great efforts have been poured into the search for the sources of these cosmic ...
  • Electron Transport in Magnetic Tunnel Junctions 

    Dark, Jason F. (Georgia Institute of Technology, 2021-04-26)
    Electron Transport in Magnetic Tunnel Junctions Jason F. Dark 133 Pages Directed by Dr. Dragomir Davidović In this thesis, I lay the groundwork for studying low temperature magnetization dynamics of ferromagnetic nanoparticles ...
  • Quantum Magnetism from the Iron Age to Today 

    Arovas, Daniel (Georgia Institute of Technology, 2021-04-12)
    The quantum theory of magnetism has provided many durable paradigms for quantum phases of matter, including intrinsically quantum disordered states, symmetry-protected topological phases, and quantum spin liquids. It also ...
  • How Materials Can Learn to Function 

    Liu, Andrea J. (Georgia Institute of Technology, 2021-03-29)
    How does learning occur? In the context of neural networks, learning occurs via optimization, where a loss function is minimized to achieve the desired result. But physical networks such as mechanical spring networks or ...
  • Origins of Structure in Inner Planetary System 

    Murray-Clay, Ruth (Georgia Institute of Technology, 2021-03-01)
    Why do many stars host close-in chains of super-Earths? Why are eccentric gas giants found in some inner planetary systems? What determines which of these outcomes will occur around a particular star? I will present a ...
  • Understanding the 2020 Nobel Prize in Physics + Q&A 

    Cvitanović, Predrag; Wells-Bonning, Erin (2020-11-11)
    Georgia Tech School of Physics professor and Glen P. Robinson Chair in Nonlinear Sciences Chair Predrag Cvitanović and Emory University Senior Lecturer and Director of the Planetarium Erin Wells Bonning explain the 2020 ...
  • Discovering Governing Equations from Noisy and Incomplete Data 

    Reinbold, Patrick K. (Georgia Institute of Technology, 2020-12-07)
    Partial differential equations (PDEs) provide macroscopic descriptions of systems in many disciplinesthroughout physical science, such as for fluid flows. With increasingly vast amounts of data becoming avail-able ...
  • Spatiotemporal Tiling of the Kuramoto-Sivashinsky equation 

    Gudorf, Matthew (Georgia Institute of Technology, 2020-12-06)
    Motivated by space-time translational invariance and exponentially unstable dynamics, `spatiotemporally chaotic' or `turbulent' flows are recast as a (D+1)-dimensional spatiotemporal theory which treats space and time ...
  • Strong-Field Numerical Relativity in the Era of Gravitational Wave Astronomy 

    Ferguson, Deborah Lynn (Georgia Institute of Technology, 2020-11-19)
    The success of numerical relativity and gravitational wave detectors have paired to provide us with the opportunity to study Einstein’s theory of general relativity in the strongest gravitational regimes. With future ...
  • Controlling Mechanical Response in Metamaterials via Topological States of Matter 

    Saremi, Adrien Keyvan (Georgia Institute of Technology, 2020-08-18)
    Flexible metamaterials are defined by repeating structural patterns that permit them to possess exciting elastic properties, such as robust, programmable soft deformations. In recent years, they have profited from topological ...
  • Energetic Versatility of Muscle 

    Tune, Travis Carver (Georgia Institute of Technology, 2020-08-21)
    Muscle in an incredibly versatile, active, soft, crystalline material which makes it very unique. It is ubiquitous in animals across many scales, enabling a diverse range of locomotion types and mechanical functions, capable ...
  • Neutron Scattering and Quantitative Modeling of Magnetic Excitations in Frustrated Materials 

    Bai, Xiaojian (Georgia Institute of Technology, 2019-11-06)
    The basic theme of my Ph.D. research is understanding exotic magnetic phases of matter and investigate their collective low-energy excitations using neutron-scattering and quantitative modeling. In this thesis, I start ...
  • Unraveling Nanoscale Thermal Transport in Multilayered Semiconductors 

    Kothari, Kartik (Georgia Institute of Technology, 2019-09-09)
    A thorough comprehension and control of thermal transport in nanoscale thermoelectric, microelectronic and optoelectronic devices is crucial since it is paramount to their optimum performance. The fundamental understanding ...
  • Emergent Nonequilibrium Statistical Mechanics from Death and Birth in Biofilms 

    Kalziqi, Arben L. (Georgia Institute of Technology, 2019-10-04)
    This thesis experimentally explores the statistical mechanics which emerge in the study of bacterial biofilms, highly nonequilibrium communities in which a vast number of bacteria make their homes, and which are of tremendous ...
  • Machine Learning for Partial Differential Equations 

    Brenner, Michael P. (Georgia Institute of Technology, 2020-11-16)
    When Newton's laws are applied in every point in space we arrive at a set of nonlinear partial differential equations describing the world. We often marvel at the complexity of the solutions, but we know very well that ...

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