Sella
Sella is a utility for finding first order saddle points
An example script
#!/usr/bin/env python3
from ase.build import fcc111, add_adsorbate
from ase.calculators.emt import EMT
from sella import Sella, Constraints
# Set up your system as an ASE atoms object
slab = fcc111('Cu', (5, 5, 6), vacuum=7.5)
add_adsorbate(slab, 'Cu', 2.0, 'bridge')
# Optionally, create and populate a Constraints object.
cons = Constraints(slab)
for atom in slab:
if atom.position[2] < slab.cell[2, 2] / 2.:
cons.fix_translation(atom.index)
# Set up your calculator
slab.calc = EMT()
# Set up a Sella Dynamics object
dyn = Sella(
slab,
constraints=cons,
trajectory='test_emt.traj',
)
dyn.run(1e-3, 1000)
If you are using Sella or you wish to use Sella, let me know!
Documentation
For more information on how to use Sella, please check the wiki.
How to cite
If you use our code in publications, please cite the revelant work(s). (1) is recommended when Sella is used for solids or in heterogeneous catalysis, (3) is recommended for molecular systems.
- Hermes, E., Sargsyan, K., Najm, H. N., Zádor, J.: Accelerated saddle point refinement through full exploitation of partial Hessian diagonalization. Journal of Chemical Theory and Computation, 2019 15 6536-6549. https://pubs.acs.org/doi/full/10.1021/acs.jctc.9b00869
- Hermes, E. D., Sagsyan, K., Najm, H. N., Zádor, J.: A geodesic approach to internal coordinate optimization. The Journal of Chemical Physics, 2021 155 094105. https://aip.scitation.org/doi/10.1063/5.0060146
- Hermes, E. D., Sagsyan, K., Najm, H. N., Zádor, J.: Sella, an open-source automation-friendly molecular saddle point optimizer. Journal of Chemical Theory and Computation, 2022 18 6974–6988. https://pubs.acs.org/doi/10.1021/acs.jctc.2c00395
Acknowledgments
This work was supported by the U.S. Department of Energy, Office of Science, Basic Energy Sciences, Chemical Sciences, Geosciences and Biosciences Division, as part of the Computational Chemistry Sciences Program.
Release files for sella 2.6.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| sella-2.6.0.tar.gz | 182.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sella-2.6.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 309.8 kB
Release files / sella-2.6.0.tar.gz
| Download URL | sella-2.6.0.tar.gz |
|---|---|
| Size | 182.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.11.16
|
Release files / sella-2.6.0-py3-none-any.whl
| Download URL | sella-2.6.0-py3-none-any.whl |
|---|---|
| Size | 127.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.11.16
|
