-
Updated
Jul 29, 2021 - Python
materials-science
Here are 270 public repositories matching this topic...
-
Updated
Jul 23, 2021 - HTML
-
Updated
Jul 29, 2021 - HTML
-
Updated
Jul 26, 2021 - Jupyter Notebook
-
Updated
Jul 23, 2021 - C++
-
Updated
Jul 25, 2021 - C++
-
Updated
Jun 9, 2021
-
Updated
Jul 20, 2021 - Python
In the file defining the Alkene functional group (stk.molecular.functional_groups.alkene.py), lines 103 and 116 return self.atom1 and self.atom2.
atom1 and atom2 do not exist.
Should be return self._atom1 and return self._atom2.
This issue is not picked up with the current tests so suggests a need to see if each atom can be retrieved successfully ( get_carbon1 etc.) for each fu
-
Updated
Jul 29, 2021 - Python
Summary of discussion with @utf and @scanlond based on user feedback.
- Users can get confusing/incorrect results when using kgen with a non-primitive POSCAR
- kgen warns that results may be incorrect and writes a POSCAR_prim file along with a KPOINTS which corresponds to that primitive/standard cell setting.
- If the user ignores this warning and uses their current POSCAR with this
-
Updated
Jul 26, 2021 - C++
-
Updated
Jul 28, 2021 - Python
-
Updated
Jul 19, 2021 - Fortran
-
Updated
May 15, 2021 - Python
-
Updated
Jul 7, 2020 - Python
-
Updated
Apr 10, 2020 - Python
-
Updated
Jul 23, 2021 - Python
-
Updated
May 21, 2021 - Jupyter Notebook
-
Updated
Jul 26, 2021 - Python
-
Updated
Jul 26, 2021 - Python
-
Updated
Mar 13, 2021
-
Updated
Sep 25, 2020 - Python
-
Updated
Apr 24, 2021 - Java
-
Updated
Mar 28, 2021 - Jupyter Notebook
As of now, users do not have the freedom to pass hyperparameters during the run.
-
Updated
Dec 15, 2020 - HTML
-
Updated
Nov 5, 2020 - C++
Improve this page
Add a description, image, and links to the materials-science topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the materials-science topic, visit your repo's landing page and select "manage topics."
Per SVK's suggestion, it is worth exploring if one can use an autoencoder (regular or variational) instead of PCA for the sliding-window-based image denoising originally written by @ramav87 .
@saimani5 @markpoxley will you be interested in exploring it?