Merge pull request brucefan1983#1347 from duanzaixu/gitpr

Add publications bib

Author: brucefan1983

doc/publications.bib

@@ -1362,8 +1362,19 @@ @article{LiDonWan24
 doi = {10.1016/j.ijheatmasstransfer.2024.125404}
 }
 
+@article{LiDonYin26,
+title = {Anisotropic and isotropic elasticity and thermal transport in monolayer {C24} networks from machine-learning molecular dynamics},
+journal = {International Journal of Heat and Mass Transfer},
+volume = {260},
+pages = {128505},
+year = {2026},
+issn = {0017-9310},
+doi = {10.1016/j.ijheatmasstransfer.2026.128505},
+author = {Qing Li and Haikuan Dong and Penghua Ying and Zheyong Fan}
+}
+
 @article{LiFanLiu,
-title = {Machine learning-accelerated molecular dynamics calculations for investigating the thermal modulation by ferroelectric domain wall in KTN single crystals},
+title = {Machine learning-accelerated molecular dynamics calculations for investigating the thermal modulation by ferroelectric domain wall in {KTN} single crystals},
 author = {Shun Li and Lantao Fang and Tao Liu and Xuping Wang and Bing Liu and Yuanyuan Zhang and Xianshun Lv and Lei Wei},
 journal = {Computational Materials Science},
 volume = {249},
@@ -1375,7 +1386,7 @@ @article{LiFanLiu
 
 @article{LiHuaNi25,
 author = {Li, Weikang and Huang, Xiaoyu and Ni, Yuxiang},
-title = {Synergistic Effects of Phonon Anderson Localization and Resonance in Si/Ge Superlattice Nanowires: Toward Lower Thermal Conductivity},
+title = {Synergistic Effects of Phonon Anderson Localization and Resonance in {Si}/{Ge} Superlattice Nanowires: Toward Lower Thermal Conductivity},
 journal = {The Journal of Physical Chemistry C},
 volume = {129},
 number = {42},
@@ -3515,7 +3526,7 @@ @article{YuDonYan24
 
 @article{YueCheMa25,
 author={Yue, Jincheng and Chen, Rongkun and Ma, Dengke and Hu, Shiqian},
-title={Nanoparticle-Assisted Phonon Transport Modulation in Si/Ge Heterostructures Using Neuroevolution Potential Machine Learning Models},
+title={Nanoparticle-Assisted Phonon Transport Modulation in {Si}/{Ge} Heterostructures Using Neuroevolution Potential Machine Learning Models},
 journal={Chinese Physics Letters},
 volume={42},
 pages={036301},
@@ -3535,6 +3546,14 @@ @article{YueHuXu24
   doi = {10.1103/PhysRevB.109.115302}
 }
 
+@article{YuGuiZha26,
+author = {Yu, Maolin and Gui, Yangming and Zhao, Zhiqiang and Li, Jidong and Guo, Xu and Zhang, Zhuhua},
+title = {Mechanism for Borophene Phase Transition on Substrate},
+journal = {ACS Nano},
+year = {2026},
+doi = {10.1021/acsnano.5c17811}
+}
+
 @article{YuWanHan25,
     author = {Yu, Shaobo and Wang, Junjie and Han, Yu and Jia, Qiuhan and Liang, Zhixin and Yang, Ziyang and Pan, Yujian and Gao, Hao and Sun, Jian},
     title = {A generalized method for refining and selecting random crystal structures using graph theory},
@@ -3567,7 +3586,7 @@ @article{ZenCaoZuo25
 number = {4},
 pages = {045602},
 author = {Zeng, Yuxuan and Cao, Wei and Zuo, Yijing and Peng, Tan and Hou, Yue and Miao, Ling and Wang, Ziyu and Shi, Jing},
-title = {Accelerating the discovery of materials with expected thermal conductivity via a synergistic strategy of DFT and interpretable deep learning},
+title = {Accelerating the discovery of materials with expected thermal conductivity via a synergistic strategy of {DFT} and interpretable deep learning},
 journal = {Materials Futures}
 }