click here for: Conference Program

SESAPS 2019 will have the sessions covering the following topics:

  • Applied Physics
  • Astrophysics
  • Atomic, Molecular and Optical Physics
  • Biophysics and Medical Physics
  • Condensed Matter Physics/Nanoscience
  • Gravitation
  • Nuclear Physics
  • Particle Physics
  • Hadronic Physics
  • Physics Education
  • Space Physics
  • Statistical and Non-linear Physics
  • Instrumentation
  • Student Poster Session

    There will be also invited special topics sessions:
  • 35 Years of Jlab
  • Precision QCD experiments
  • The Hadron spectra as probes of QCD
  • The 3D structure of the hadrons
  • Puzzle of Proton Charge Radius
  • Multimessenger Astrophysics
  • Higgs Boson Physics
  • Neutrino Physics
  • Direct and Indirect Dark Sector Detection
  • Accelerator-based Dark Sector Production
  • BSM Particle Physics
  • Fundamental Symmetries
  • Low-Energy Nuclear Physics
  • 2D States, Emerging Thin Film Materials, and Interfaces
  • Spin-Orbit Coupling: 4d/5d materials
  • Materials Under Extreme Conditions and Far from Equilibrium
  • Soft Matter, Complex Fluids and Polymers
  • QIS
  • Quantum Computing
  • Physics Education
  • Physics at HBCUs
  • Topics in National Security
  • Medical and Bio-Phyics

SESAPS Banquet:
Friday, November 8th 2019

Tickets for banquet can be purchased with registration

This year’s banquet talk will be given by Professor Ian Eisenman (UC San Diego) on “The stability of the Arctic sea ice cover” 


The retreat of Arctic sea ice is one of the most dramatic signals of recent climate change in the observational record. It involves an amplifying factor associated with changes in the surface albedo (i.e., reflectiveness) called the ice-albedo feedback. If the ice-albedo feedback becomes dominant in the Arctic as the climate warms, a runaway feedback process or "tipping point" could occur in which the Arctic irreversibly transitions to an ice-free state. Such a transition occurs at a bifurcation point and is characterized by the presence of unstable climate states. Many studies have identified such instabilities in a range of idealized climate models during the past half century. However, evidence for these instabilities has been notably absent in simulations with the more complex global climate models (GCMs) that are currently used to project future climate change in response to increased greenhouse forcing. In this talk, I will propose a physical explanation for this discrepancy, drawing on a model that we developed to bridge the gap between the idealized models and the GCMs. The results help constrain whether such instabilities should be expected in nature.