Many problems in physics require high performance computing including simulations of novel materials, quantum computing devices, complex atomic systems, the cosmological evolution and the climate as well as the processing of large datasets from astronomical and cosmological observations or quantum simulations. This leads to the development of new computational techniques and applications.
Several academics in Computational Physics and Big Data are also part of the UNSW Data Science Hub uDASH. This includes Prof Sarah Brough, A/Prof Sarah Martell, Dr Ben Montet, and A/Prof Dennis Stello in Astrophysics and Dr Jan Hamann in Fundamental Physics.
Seeing is believing: Microscopy-capable nanoscale devices for bioelectronics applications
Help unravel galaxy transformation using the MAGPI suite of state-of-the-art galaxy simulation mock galaxy observations.
Sounding stars using data from NASA's Kepler and TESS missions
Galaxy Evolution Across Cosmic Time
Understanding Nearby Stars and their Planets
Theoretical Condensed Matter Physics
Testing the Standard Model: searching for new particles and applying many-body atomic physics calculations
Galactic archaeology with large data sets
Theoretical approaches to living systems
Theoretical cosmology and astroparticle physics
Earth's atmosphere and climate
Investigations into quantum phenomena in the solid-state