By reformulating the TDDFT problem as a matrix function approximation, making use of a
special transformation and taking advantage of the underlying symmetry with
respect to a non-Euclidean metric, Yang and his colleagues were able to apply the
Lanczos algorithm and a Kernal Polynomial Method (KPM) to approximate the
absorption spectrum of several molecules. Both of these algorithms require
relatively low-memory compared to non-symmetrical alternatives, which is the key
to the computational savings.
Revised: February 20, 2018 |
Published: May 26, 2017
Citation
Vu L., N. Govind, and C. Yang. 2017.A Fresh Math Perspective Opens New Possibilities for Computational Chemistry.LBNL News and Publications.PNNL-SA-126354.