update publications of works using deepmd-kit

source/_data/pub.bib

@@ -1,3 +1,51 @@
+@article{Guo2025DeepEMs25_DEEPMD,
+  title        = {DeepEMs-25: a deep-learning potential to decipher kinetic tug-of-war dictating thermal stability in energetic materials},
+  author       = {Guo, Ming-Yu and Yan, Yun-Fan and Chen, Pin and Zhang, Wei-Xiong},
+  journal      = {npj Computational Materials},
+  volume       = {11},
+  number       = {1},
+  pages        = {246},
+  year         = {2025},
+  publisher    = {Nature Publishing Group},
+  doi          = {10.1038/s41524-025-01739-7},
+  url          = {https://www.nature.com/articles/s41524-025-01739-7}
+}
+
+
+@Article{Infuso2025DeepPotentialDrivenMolecularDynamics_DEEPMD,
+  author       = {Infuso, Maxime and Del Fré, Samuel and Alou Angulo, Gilberto A. and Bertin, Mathieu and Fillion, Jean-Hugues and Rivero Santamaría, Alejandro and Monnerville, Maurice},
+  title        = {Deep potential-driven molecular dynamics of CO ice analogs: Investigating desorption following vibrational excitation},
+  journal      = {The Journal of Chemical Physics},
+  volume       = {163},
+  number       = {8},
+  pages        = {084303},
+  year         = {2025},
+  doi          = {10.1063/5.0285103},
+  url          = {https://doi.org/10.1063/5.0285103}
+}
+
+@Article{Chandran2024ComparativeAnalysisTernaryTiAlNb_DEEPMD,
+  author       = {Chandran, Anju and Santhosh, Archa and Pistidda, Claudio and Jerabek, Paul and Aydin, Roland C. and Cyron, Christian J.},
+  title        = {Comparative analysis of ternary {\( \text{Ti–Al–Nb} \)} interatomic potentials: moment tensor vs. deep learning approaches},
+  journal      = {Frontiers in Materials},
+  volume       = {11},
+  year         = {2024},
+  doi          = {10.3389/fmats.2024.1466793},
+  url          = {https://doi.org/10.3389/fmats.2024.1466793}
+}
+
+@Article{Gu2024DeepLearningTightBinding_DEEPMD,
+  author       = {Gu, Qiangqiang and Zhouyin, Zhanghao and Pandey, Shishir Kumar and Zhang, Peng and Zhang, Linfeng and E, Weinan},
+  title        = {Deep learning tight-binding approach for large‐scale electronic simulations at finite temperatures with ab initio accuracy},
+  journal      = {Nature Communications},
+  volume       = {15},
+  number       = {1},
+  pages        = {6772},
+  year         = {2024},
+  doi          = {10.1038/s41467-024-51006-4},
+  url          = {https://doi.org/10.1038/s41467-024-51006-4}
+}
+
 @Article{Zhu_npjDrugDiscov_2025_v2_p1,
     author =   {Hui Zhu and Xuelian Li and Baoquan Chen and Niu Huang},
     title =    {{Augmented BindingNet dataset for enhanced ligand binding pose

source/papers/deepmd-kit/index.md

@@ -11,8 +11,16 @@ We encourage explicitly mentioning DeePMD-kit with proper citations in your publ
 
 Last update date: June 30, 2024
 
+## 2025
+{% publications %}
+Guo2025DeepEMs25_DEEPMD,
+Infuso2025DeepPotentialDrivenMolecularDynamics_DEEPMD
+{% endpublications %}
+
 ## 2024
 {% publications %}
+Chandran2024ComparativeAnalysisTernaryTiAlNb_DEEPMD,
+Gu2024DeepLearningTightBinding_DEEPMD,
 Chen_MatterRadiatExtrem_2024_v9,
 Zhang_AcsPhysChemAu_2024,
 Zhang_NatCommun_2024_v15_p4223,