杨鸿宇

Lecturer (higher education)  

Name (Simplified Chinese):杨鸿宇

Name (Pinyin):YANGHONGYU

E-Mail:

Date of Employment:2021-07-01

Education Level:With Certificate of Graduation for Doctorate Study

Gender:Male

Professional Title:Lecturer (higher education)

Status:On duty

Alma Mater:电子科技大学

Discipline:Materials Science and Engineering

College:先进材料与纳米科技学院,信息交叉学部(INfor-X),材料科学与工程系,中德国际联合研究中心

School/Department:先进材料与纳米科技学院


Education Background

2015.09 -- 2021.06

电子科技大学       Materials Science and Engineering       Postgraduate (Doctoral)       Doctoral Degree in Engineering

2011.09 -- 2015.06

西南科技大学       Materials Science and Engineering       University graduated       Bachelor's Degree in Engineering

Social Affiliations

《AI & Materials》青年编委

《Journal of Advanced Ceramics》编委

Other Contact Information

  • email :

  • PostalAddress :

  • ZipCode :

  • Work Experience

    2021.07 -- Now

    西安电子科技大学

    Personal Profile

    杨鸿宇,硕士生导师,讲师,秦创原引用高层次创新创业人才。博士毕业于电子科技大学电子薄膜与集成器件国家重点实验室,近年来针对信息技术高速发展中新型先进电子元器件及其模块具有高频化、小型化、集成化以及多功能化的特征,开展微波介质陶瓷与器件、LTCC材料与集成技术、人工智能技术驱动的材料设计等方面研究。近年来以第一作者或通讯作者在Advanced Materials, Advanced Functional MaterialsJournal of Advanced Ceramics等期刊发表SCI学术论文30余篇;以第一发明人授权国家发明专利2项。主持陕西省重点研发计划等纵向项目4项。指导本科生获25年大创国家级立项(结题优秀);指导硕士生许承智、郭泽旭均获校级优秀硕士学位。代表性论文如下:

    [1] Zixiong Sun#*, Tiancheng Luo#, Pan Gao#, Hongyu Yang#*, Peiyao Sun, Yao Li, Hongmei Jing*, Ye Tian, He Qi*, Zhuo Wang, Daniel Q. Tan. Machine-Learning-Designed BCZT–SBT Heterointerface Unlocks Fatigue-Resistant Energy Storage. Advanced Materials. 2026. 38. e19635.

    [2] Ya Yang#, Hongyu Yang#, Peng Wang*, Yawen Cui, Jiarong Lv, Dingheng Lin, Jinjun Liu, Tengfei Hu*, Genshui Wang, Huajie Luo, Weiping Li*, and Zhongbin Pan*. Atomic-scale Intermediate Polarization States Enable Superb Energy Storage in NaNbO3 Ceramics via Machine Learning. Advanced Functional Materials. 2026. e75612.

    [3] Xing Zhang*, Lei Zhou, Jun Yang*, Junjie Li, Mu Lan, Yilei Li, Zitao Shi, Wenjuan Wu, Bin Tang, Hongyu Yang*, Lezhong Li. Revealing Loss Mechanisms through Interpretable Machine Learning and Accelerated Discovery of Ultra-Low-Loss Dielectric Ceramics in the Li2TiO3-Li3NbO4-MgO System. Journal of Materials Science & Technology. 2026. 267: 268-283.

    [4] Hongyu Yang, Ce Gao, Denghui Jiang, Dafang Zhong, Yuxuan Ma, Yihang Li, Linzhuang Xing, Heng Zhao*, Li Yang, Zhimin Li*, Yue Hao. Machine learning assisted prediction for the coefficient of thermal expansion of binary crystals. Journal of Advanced Ceramics. 2025. 14(8): 9221117.

    [5] Hongyu Yang*, Liang Chai, Yuchen Wang, Mengjiang Xing, Yawei Chen, Enzhu Li*. Matching correlation study of titanium-based ceramics with glass based on dissolution characteristics. Journal of the European Ceramic Society. 2022. 42(13): 5778-5788.