Comments (3)
Hi @ARostekMU,
The parallellization is only effective when working on multiple systems. We do not parallelize the computations for a single system, as this is much trickier to implement. Our documentation should be updated to point out this fact better.
from dscribe.
Thank you for your answer.
If I were to split my ase.Atoms
into multiple ase.Atoms
and pass them to create
in a list
, would that give incorrect results?
from dscribe.
Depends how you do the splitting. The systems that you feed in still need to contain all of the neighbouring atoms within the cutoff radius from the LMBTR centers.
Such splitting might help if you have problems with memory, but I don't think it will make the computation faster as compared to feeding the system as a whole.
from dscribe.
Related Issues (20)
- Error with np.str (NumPy >= 1.24) HOT 1
- Descriptor that recognizes each atom of the same species differently HOT 1
- The example in README.md is not correct HOT 1
- [Bug] Error in SOAP derivatives when using weighting. HOT 2
- API compatibility is broken since 0696656 HOT 1
- ACSF.create cannot accept cartesian positions as "centers" parameter HOT 2
- Numpy operations on sparsed derivatives HOT 5
- Similarity based on Average kernel obtain deferent value between each atom and its replica atoms. HOT 1
- Similarity value is different between equivalent atoms HOT 5
- Segmentation fault in SOAP for l_max > 9 HOT 2
- Analytic Integral of SH expansion coefficients HOT 2
- SOAP polynomial RBF error HOT 3
- issue with "species" HOT 2
- MBTR HOT 3
- ACSF G5 values HOT 2
- Potential memory leak in MBTR HOT 2
- Analytical derivatives of SOAP HOT 4
- Identical geometry but similarity < 1 HOT 4
- Numerical SOAP derivatives for periodic systems HOT 6
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from dscribe.