-
Notifications
You must be signed in to change notification settings - Fork 526
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Feat: add pair table model to pytorch #3192
Conversation
for more information, see https://pre-commit.ci
Codecov ReportAttention:
Additional details and impacted files@@ Coverage Diff @@
## devel #3192 +/- ##
==========================================
+ Coverage 74.32% 74.36% +0.04%
==========================================
Files 344 345 +1
Lines 31868 31981 +113
Branches 1592 1592
==========================================
+ Hits 23686 23783 +97
- Misses 7257 7273 +16
Partials 925 925 ☔ View full report in Codecov by Sentry. |
for more information, see https://pre-commit.ci
for more information, see https://pre-commit.ci
for more information, see https://pre-commit.ci
for more information, see https://pre-commit.ci
It's related to these issues, and partially solves them. The extrapolation feature added in this PR only handles the case where |
Migrated from this PR. This is to reimplement the PairTab Model in Pytorch.
Notes:
rcut
>rmax
. The pytorch version overwrite energy beyond extrapolation endpoint to0
. These features are not available in the tensorflow version. The extrapolation uses a cubic spline form, the 1st order derivation for the starting point is estimated using the last two rows in the user defined table. See example below: