May 26, 2017
Journal Article

A Fresh Math Perspective Opens New Possibilities for Computational Chemistry

Abstract

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.