Quantum chemistry is a vital part of modern chemistry research, with applications ranging from characterizing unknown products all the way through to designing new molecules. However, it is still limited in the size of systems that are tractable. There is typically a trade-off between accuracy and efficiency, due to the computational expense of the various steps in typical algorithms; for example, in calculating molecular integrals, or the diagonalization of an effective Hamiltonian. There are two primary aspects of a quantum chemical calculation that contribute to both the cost and accuracy: the choice of method, and the basis set used to represent the system.