You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: votes/DPNEGF_vote.md
+1-1Lines changed: 1 addition & 1 deletion
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -6,7 +6,7 @@ DPNEGF is a Python package that integrates the Deep Learning Tight-Binding (DeeP
6
6
7
7
By using DeePTB-SK or DeePTB-E3—both available within the DeePTB package—DeePTB-NEGF can compute quantum transport properties in open-boundary systems with either environment-corrected Slater-Koster TB Hamiltonian or linear combination of atomic orbitals (LCAO) Kohn-Sham Hamiltonian.
8
8
9
-
For more information, see the paper [DeePTB-NEGF: arXiv:2411.08800v2](https://arxiv.org/abs/2411.08800v2)
9
+
For more information, see the paper [DPNEGF: arXiv:2411.08800v2](https://arxiv.org/abs/2411.08800v2)
0 commit comments