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DL-FIND: An Open-Source Geometry Optimizer for Atomistic Simulations
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, quasi-Newton, and L-BFGS algorithms as well as damped molecular dynamics are available as minimization methods. The partitioned rational function optimization algorithm, a modified version of the dimer method and the nudged elastic band approach provide capabilities for transition-state search. Penalty function, gradient projection, and Lagrange-Newton methods are implemented for conical intersection optimizations. Various stochastic search methods, including a genetic algorithm, are available for global or local minimization and can be run as parallel algorithms. The code is released under the open-source GNU LGPL license. Some selected applications of DL-FIND are surveyed.
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Cited by
Janet, J. P., & Kulik, H. J. (2017) · The Journal of Physical Chemistry A · doi:10.1021/acs.jpca.7b08750 · Cited by 289
Janet, J. P., Ramesh, S., Duan, C., & Kulik, H. J. (2020) · ACS Central Science · doi:10.1021/acscentsci.0c00026 · Cited by 200
Predicting electronic structure properties of transition metal complexes with neural networks
Janet, J. P., & Kulik, H. J. (2017) · Chemical Science · doi:10.1039/c7sc01247k · Cited by 199
The influence of base pair tautomerism on single point mutations in aqueous DNA
Gheorghiu, A., Coveney, P. V., & Arabi, A. A. (2020) · Interface Focus · doi:10.1098/rsfs.2019.0120 · Cited by 52
Villard, J., Kılıç, M., & Rothlisberger, U. (2023) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.2c01078 · Cited by 19
Metadata
- Authors
- Kästner, J., Carr, J. M., Keal, T. W., Thiel, W., Wander, A., & Sherwood, P.
- Venue
- The Journal of Physical Chemistry A
- Publisher
- American Chemical Society (ACS)
- Published
- 2009-07-29
- Volume
- 113
- Issue
- 43
- Pages
- 11856-11865
- ISSN
- 1089-5639 (ISSN-L)
- 1520-5215
- OpenAlex
- W1982703140
- Cited by
- 658
- References
- 0
- FWCI
- 6.13
- Type
- journal article
- Language
- en
- Open access
- closed
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- Kästner, J., Carr, J. M., Keal, T. W., Thiel, W., Wander, A., & Sherwood, P. (2009). DL-FIND: An Open-Source Geometry Optimizer for Atomistic Simulations. The Journal of Physical Chemistry A. https://doi.org/10.1021/jp9028968
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