Simulating quantum mechanics
Emerging technological advances in laboratory methods have made it possible for scientists to directly observe the fragile quantum state.
Subject:
Years of HPC experience:
8
Programming languages:
Fortran, C/C++, Python, R
App Dev Expertise:
parallel computing (MPI, OpenMP, OpenACC), atmospheric modelling (radiative transfer, fluid dynamics), data analysis
Architectures Known:
Intel, Power 6
Interests:
Scientific Computing, Optimisation, Parallel Computing
Domains known:
Software/Apps known:
Unified Model, scientific libraries
