2017
DOI: 10.1016/j.commatsci.2017.03.001
|View full text |Cite
|
Sign up to set email alerts
|

On-the-fly parameterization of internal coordinate force constants for quasi-Newton geometry optimization in atomistic calculations

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
4
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
6

Relationship

2
4

Authors

Journals

citations
Cited by 8 publications
(4 citation statements)
references
References 31 publications
0
4
0
Order By: Relevance
“…For structural relaxations, the "external structure optimizer" (SxExtOpt) [51] is used for the following reasons: (i) Since the average of forces is performed outside the DFT code, a structure optimizer independent of the potential energy surface calculation is required. (ii) SxExtOpt shows a very fast convergence to the structure of lowest energy as it models the Hessian based on internal coordinates and parametrizes it on the fly.…”
Section: G Simulation Protocolmentioning
confidence: 99%
“…For structural relaxations, the "external structure optimizer" (SxExtOpt) [51] is used for the following reasons: (i) Since the average of forces is performed outside the DFT code, a structure optimizer independent of the potential energy surface calculation is required. (ii) SxExtOpt shows a very fast convergence to the structure of lowest energy as it models the Hessian based on internal coordinates and parametrizes it on the fly.…”
Section: G Simulation Protocolmentioning
confidence: 99%
“…The interactions are determined from a least-square fit of the forces from more than 1500 configurations of an MD run at 3000 K at the target lattice constant. Owing to the harmonic approximation, the fitting problem is linear [49] and is solved with a standard algebraic method, namely the pseudo-inverse from singular value decomposition to avoid accidental ill-conditioning. The zero-force reference structure, where the potential attains its minimum is set to the 0 K equilibrium geometry.…”
mentioning
confidence: 99%
“…This precision leads to accurate force calculations and stable convergence behaviour, ensuring reliability without erratic outcomes. In conclusion, BFGS's optimization efficiency, global capabilities, curvature incorporation, and smooth convergence greatly enhance Cartesian force calculation accuracy [45,46].…”
Section: Te Parameters and Optimization Calculationsmentioning
confidence: 96%