A tar file containing the structures between which a saddle should be computed is here: coords.tgz
Algorithm | <FCs> | min(FCs) | median(FCs) | max(FCs) | nfailed |
---|---|---|---|---|---|
optim
Comments:
This method uses DNEB to get an image close to the saddle point, then uses
hybrid eigenvector following method to optimize to that saddle point.
This uses Rayleigh-Ritz minimization to find the lowest eigenvector and moves
using the hybrid eigenvector following method. The Rayleigh-Ritz minimization
uses a first order (forward finite differences) expansion.
|
131 | 66 | 120 | 260 | 0 |
eon-lanczos-improved1
Date: 29 Aug 2013 Contributor: Sam Chill Input files: eon-lanczos-improved.tgz |
287 | 85 | 201 | 1623 | 0 |
pele
Date: 06 Aug 2014 Contributor: Jacob Stevenson Code: pele-a68ec5.tgz Input files: pele.tgz |
293 | 107 | 222 | 782 | 0 |
eon-dimer1
Date: 22 Aug 2013 Contributor: Sam Chill Input files: eon-dimer.tgz |
337 | 89 | 204 | 2079 | 0 |
eon-lanczos1
Date: 29 Aug 2013 Contributor: Sam Chill Input files: eon-lanczos.tgz |
364 | 110 | 241 | 2794 | 0 |
optim-cl-string
Comments:
This method uses climbing-string method to get an image close to the saddle
point, then uses inexact newton method to accelerate the convergence.
The final state is used as the inpute of the initial guessed saddle point for
climbing-string.
|
786 | 274 | 625 | 2792 | 3 |
eon-ci-neb1
Date: 22 Aug 2013 Contributor: Sam Chill Input files: eon-ci-neb.tgz |
827 | 407 | 788 | 2347 | 7 |
eon-ci-swdneb1
Date: 22 Aug 2013 Contributor: Sam Chill Input files: eon-ci-swdneb.tgz |
861 | 407 | 794 | 2187 | 5 |
A tar file containing the structures between which a saddle should be computed is here: pt-island-con.tgz
Algorithm | <FCs> | min(FCs) | median(FCs) | max(FCs) | nfailed |
---|---|---|---|---|---|
optim
Comments:
This method uses DNEB to get an image close to the saddle point, then uses
hybrid eigenvector following method to optimize to that saddle point.
This uses Rayleigh-Ritz minimization to find the lowest eigenvector and moves
using the hybrid eigenvector following method. The Rayleigh-Ritz minimization
uses a first order (forward finite differences) expansion.
|
103 | 59 | 98 | 194 | 0 |
eon-ci-neb-single1
Date: 23 Aug 2013 Contributor: Sam Chill Input files: eon-ci-neb-single.tgz |
110 | 29 | 62 | 594 | 0 |
optim-6
Comments:
This method uses DNEB to get an image close to the saddle point, then uses
hybrid eigenvector following method to optimize to that saddle point.
This uses Rayleigh-Ritz minimization to find the lowest eigenvector and moves
using the hybrid eigenvector following method. The Rayleigh-Ritz minimization
uses a first order (forward finite differences) expansion.
Six images are used in DNEB
|
117 | 60 | 115 | 201 | 0 |
eon-dimer1
Date: 23 Aug 2013 Contributor: Sam Chill Input files: eon-dimer.tgz |
182 | 74 | 182 | 322 | 0 |
eon-lanczos-improved1
Date: 29 Aug 2013 Contributor: Sam Chill Input files: eon-lanczos-improved.tgz |
222 | 72 | 157 | 2039 | 8 |
eon-ci-neb1
Date: 23 Aug 2013 Contributor: Sam Chill Input files: eon-ci-neb.tgz |
248 | 86 | 211 | 761 | 0 |
pele
Date: 06 Aug 2014 Contributor: Jacob Stevenson Code: pele-a68ec5.tgz Input files: pele.tgz |
255 | 96 | 244 | 782 | 2 |
eon-ci-swdneb1
Date: 23 Aug 2013 Contributor: Sam Chill Input files: eon-ci-swdneb.tgz |
256 | 92 | 219 | 956 | 0 |
optim-cl-string
Comments:
This method uses climbing-string method to get an image close to the saddle
point, then uses inexact newton method to accelerate the convergence.
The final state is used as the inpute of the initial guessed saddle point for
climbing-string.
|
319 | 34 | 286 | 1076 | 0 |
eon-lanczos1
Date: 29 Aug 2013 Contributor: Sam Chill Input files: eon-lanczos.tgz |
325 | 95 | 208 | 2660 | 5 |
eon-ci-neb-51
Date: 23 Aug 2013 Contributor: Sam Chill Input files: eon-ci-neb-5.tgz |
391 | 162 | 395 | 797 | 0 |
For this benchmark we require a connected path of minima and transition states between the starting and ending points. For this benchmark the starting and ending point are not directly connected. There exists a path with one intermediate minimum, however we do not require this path to be found. A successful benchmark is one which finds any path between the starting and ending minima. Because the final path is not specified, we require the number of transition states in the found path to be reported. (note: this benchmark should be separated from those above. perhaps in "double ended pathway search")
A tar file containing the structures between which a saddle should be computed is here: coords.tgz
Algorithm | <FCs> | min(FCs) | median(FCs) | max(FCs) | <TSs> | nfailed |
---|---|---|---|---|---|---|
optim
Date: 06 Aug 2014 Contributor: Jacob Stevenson & Cheng Shang Code: wales-27058.tar.bz2 Input files: optim.tgz |
2885 | 665 | 2565 | 7138 | 5 | 0 |
pele
Date: 06 Aug 2014 Contributor: Jacob Stevenson Code: pele-a68ec5.tgz Input files: pele.tgz |
25022 | 1069 | 20638 | 114490 | 7 | 3 |