diff --git a/votes/DPNEGF_vote.md b/votes/DPNEGF_vote.md new file mode 100644 index 0000000..3c28a73 --- /dev/null +++ b/votes/DPNEGF_vote.md @@ -0,0 +1,17 @@ +# A Vote for New Projects: DPNEGF + +## Proposal + +DPNEGF is a Python package that integrates the Deep Learning Tight-Binding (DeePTB) approach with the Non-Equilibrium Green’s Function (NEGF) method, establishing an efficient quantum transport simulation framework DeePTB-NEGF with first-principles accuracy. + +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. + +For more information, see the paper [DeePTB-NEGF: arXiv:2411.08800v2](https://arxiv.org/abs/2411.08800v2) + +## Deadline + +The vote will be open for at least 6 days unless there is an objection. + +## Scope + +TOC MEMBERS.