Credits: Mike Mackenzie

student – Master research project

Nonequilibrium Thermodynamics

Exploit modern advances in nonequilibrium thermodynamics, such as Jarzynski's equality and Crooks fluctuation theorem, to devise more efficient sampling algorithms. Read More ›

student – Master research project

Modularity of Nahm Sum

Use supervised learning to gain insights into a long-standing question in analytic number theory Read More ›

student – Master research project

Unraveling Quantum Chromodynamics

Parametrise the underlying physical laws with neural networks Read More ›

student – Master research project

High-energy neutrino physics at the LHC

Machine learning tools within the NNPDF framework and state-of-the-art calculations in perturbative quantum chromodynamics. Read More ›

student – Master research project

Starlight spectra

Teaching AI to read the light of the most massive stars Read More ›