I don't know of an explicit list like this, but some areas that we are particularly interested in are: data analytics (tensor factorization), machine learning (anything sparse including perhaps sparse neural networks), and scientific computing/graphics (general relativity, quantum mechanics such as QCD, finite element simulations, and apparently nuclear physics). It is particularly suited anywhere you have sparse matrices or tensors.