From 18f7be26ca9c8bc0c77f829cf6903e34b3aa60f0 Mon Sep 17 00:00:00 2001
From: AsymmetryChou <181240085@smail.nju.edu.cn>
Date: Mon, 22 Dec 2025 15:25:28 +0800
Subject: [PATCH 1/2] =?UTF-8?q?=E4=BF=AE=E6=AD=A3=E6=96=87=E6=A1=A3?=
 =?UTF-8?q?=E4=B8=AD=E7=9A=84=E5=BC=95=E7=94=A8=EF=BC=8C=E6=9B=B4=E6=96=B0?=
 =?UTF-8?q?DPNEGF=E8=AE=BA=E6=96=87=E9=93=BE=E6=8E=A5?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index c01a91a..bbde7e8 100644
--- a/README.md
+++ b/README.md
@@ -6,7 +6,7 @@ By using DeePTB-SK or DeePTB-E3—both available within the DeePTB package—Dee
 
 
 For more details, see our papers:
-  1. [DeePTB-NEGF: arXiv:2411.08800v2](https://arxiv.org/abs/2411.08800v2)
+  1. [DPNEGF: npj Comput Mater 11, 375 (2025)](https://www.nature.com/articles/s41524-025-01853-6)
   2. [DeePTB-SK: Nat Commun 15, 6772 (2024)](https://doi.org/10.1038/s41467-024-51006-4)
   3. [DeePTB-E3: ICLR 2025 Spotlight](https://openreview.net/forum?id=kpq3IIjUD3)
 

From c93458e332a9b9857d2a709776c259866677bf95 Mon Sep 17 00:00:00 2001
From: AsymmetryChou <181240085@smail.nju.edu.cn>
Date: Mon, 22 Dec 2025 15:28:35 +0800
Subject: [PATCH 2/2] =?UTF-8?q?=E4=BF=AE=E6=AD=A3=E5=BC=95=E7=94=A8?=
 =?UTF-8?q?=EF=BC=8C=E6=9B=B4=E6=96=B0DPNEGF=E7=9A=84=E5=BC=95=E7=94=A8?=
 =?UTF-8?q?=E6=A0=BC=E5=BC=8F=E5=92=8C=E6=96=87=E7=8C=AE=E9=93=BE=E6=8E=A5?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 README.md | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/README.md b/README.md
index bbde7e8..b0419ca 100644
--- a/README.md
+++ b/README.md
@@ -40,11 +40,11 @@ Be careful if not all tests pass!
 
 ## How to cite
 
-The following references are required to be cited when using DeePTB-NEGF. Specifically:
+The following references are required to be cited when using DPNEGF. Specifically:
 
-- **For DeePTB-NEGF:**
+- **For DPNEGF:**
   
-    J. Zou, Z. Zhouyin, D. Lin, L. Zhang, S. Hou and Q. Gu, Deep Learning Accelerated Quantum Transport Simulations in Nanoelectronics: From Break Junctions to Field-Effect Transistors. arXiv:2411.08800 (2024).
+    J. Zou, Z. Zhouyin, D. Lin, L. Zhang, S. Hou and Q. Gu, Deep Learning Accelerated Quantum Transport Simulations in Nanoelectronics: From Break Junctions to Field-Effect Transistors, npj Comput Mater 11, 375 (2025).
 
 
 - **For DeePTB-SK:**