From ac3ea0191ebac0462d474343a614e2dfe1288245 Mon Sep 17 00:00:00 2001
From: YB_HU <138468445+RussellHu41@users.noreply.github.com>
Date: Fri, 19 Dec 2025 15:26:42 +0800
Subject: [PATCH] Create DPNEGF_vote.md
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# 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.
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+# 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.