Communication: Newton homotopies for sampling stationary points of potential energy landscapes

Abstract

One of the most challenging and frequently arising problems in many areas of science is to find solutions of a system of multivariate nonlinear equations. There are several numerical methods that can find many (or all if the system is small enough) solutions but they all exhibit characteristic problems. Moreover, traditional methods can break down if the system contains singular solutions. Here, we propose an efficient implementation of Newton homotopies, which can sample a large number of the stationary points of complicated many-body potentials. We demonstrate how the procedure works by applying it to the nearest-neighbor ϕ4 model and atomic clusters.

Document Details

Document Type
Pub Defense Publication
Publication Date
Sep 28, 2014
Source ID
10.1063/1.4896657

Entities

People

  • David John Wales
  • Dhagash Mehta
  • Jonathan D Hauenstein
  • Tianran Chen

Organizations

  • Defense Advanced Research Projects Agency
  • Michigan State University
  • University of Cambridge
  • University of Notre Dame

Tags

Fields of Study

  • Mathematics

Readers

  • Linear Algebra
  • Mathematical Modeling and Probability Theory.
  • Systems Analysis and Design