DL-FIND: An Open-Source Geometry Optimizer for Atomistic Simulations
Max-Planck-Institut für Kohlenforschung · Daresbury Laboratory
Abstract
Geometry optimization, including searching for transition states, accounts for most of the CPU time spent in quantum chemistry, computational surface science, and solid-state physics, and also plays an important role in simulations employing classical force fields. We have implemented a geometry optimizer, called DL-FIND, to be included in atomistic simulation codes. It can optimize structures in Cartesian coordinates, redundant internal coordinates, hybrid-delocalized internal coordinates, and also functions of more variables independent of atomic structures. The implementation of the optimization algorithms is independent of the coordinate transformation used. Steepest descent, conjugate gradient,…
Citation impact
- FWCI
- 5.31
- Percentile
- 100%
- References
- 54
Authors
6- JKJohannes KästnerCorresponding
Max-Planck-Institut für Kohlenforschung, Daresbury Laboratory
- JMJoanne M. Carr
Max-Planck-Institut für Kohlenforschung, Daresbury Laboratory
- TWThomas W. Keal
Max-Planck-Institut für Kohlenforschung, Daresbury Laboratory
- WTWalter Thiel
Daresbury Laboratory, Max-Planck-Institut für Kohlenforschung
- AWA. Wander
Daresbury Laboratory, Max-Planck-Institut für Kohlenforschung
Topics & keywords
- Conical intersection
- Energy minimization
- Conjugate gradient method
- Cartesian coordinate system
- Computer science
- Intersection (aeronautics)
- Algorithm
- Gradient descent