张莎莎

Associate Professor   Supervisor of Master's Candidates

Gender:Female

Alma Mater:荷兰代尔夫特理工大学

Education Level:DelftUniversityofTechnology

Degree:Doctoral Degree in Engineering

School/Department:College of Material Science and Technology

Discipline:材料科学与工程. Material Process Engineering

Business Address:东区材料楼A511

E-Mail:


Paper Publications

Mediation of high temperature radiation damage in bcc iron by Au or Cu precipitation

Hits:

Affiliation of Author(s):材料科学与技术学院

Journal:Nuclear Inst. and Methods in Physics Research B

Translation or Not:no

Date of Publication:2019-12-04

Co-author:Yao Zhengjun,张钊宽,MOLIAR OLEKSANDR,Chen Feida

Correspondence Author:Zhang Shasha

Pre One:Self healing of radiation-induced damage in FeeAu and FeeCu alloys: Combining positron annihilation spectroscopy with TEM and ab initio calculations

Next One:Characterization and corrosion resistance study of the Fe–Cr films electrodeposited from trivalent chromium sulfate electrolyte

Profile


教育背景

 2011年4月-2015年4月 博士毕业于荷兰代尔夫特理工大学应用科学系;

2007年9月-2010年3月 硕士毕业于上海交通大学材料科学与工程专业;

2003年9月-2007年6月 本科毕业于山东大学材料科学与工程专业。

 

工作经历 

2016年11月-至今     南京航空航天大学材料科学与技术学院

2010年3月-2011年3月  德国莱布尼茨固体物理研究所研究助理一年。

 

研究方向:材料加工工程

1.人工智能辅助下的材料显微组织分析;

2. 基于机器学习的新材料设计及力学性能分析。

主持或参与的主要科研项目

(1)2023.11-2026.10, 超超临界机组用奥氏体耐热钢蠕变损伤机理及寿命预测模型研究,国家自然科学基金面上项目,经费50万,项目负责人;
(2)2023.11-2026.10, 基于人工智能的轴承钢加工过程组织性能演变研究,十四五国家重点研发计划重点专项项目,经费529万,课题负责人;

(3)2021.07-2022.12, Ca合金化Al-Mg-Sc铸造铝合金蠕变行为中的多重强化及自修复机理研究,中国博士后基金面上项目,项目负责人;

(4)2020.01-2023.12,电子束熔丝沉积层状钛基复合材料增强相调控与韧化机制研究,国家自然科学基金面上项目,项目骨干;

(5)2018.01-2020.12,基于缺陷诱导析出行为的铁基合金辐照损伤自修复机理研究,国家自然科学基金青年基金项目,项目负责人;

(6)2017.07–2020.06,辐照损伤自修复行为提高铁基合金抗辐照性能机理研究,江苏省自然科学基金,项目负责人。

发表学术论文,出版专著情况:

在材料科学与工程专业金属材料方向共以第一作者或通讯作者发表SCI论文30余篇,主编教材一部,参与出版专著一部。代表性论文如下:

(1)  Shasha Zhang, Changqing Shu, et al., Physically interpretable flow behavior prediction of 42CrMo steel via CA-simulation-informed multimodal deep learning Materials Science and Engineering: A, 2025, 149468.

(2)  Changqing shu, Shasha Zhang*, et al., Physics-enhanced machine learning for predicting strength of high-carbon chromium steel during thermomechanical processing and spheroidizing annealing,  Materials & Design, 2025, 256, 114333. 

(3)  Changqing shu, Shasha Zhang*, et al.,Heterogeneous Microstructures of Martensite and Pearlite Achieving Excellent Mechanical Properties in High Carbon Chromium Steel by Multi-cycle Flash Heating Treatment Materials Science and Engineering: A 2025 931 148214

(4) Junchao Jiang, Shasha Zhang*, et al. Creep behavior of Ti-6Al-4V fabricated by electron beam directed energy deposition, Materials Science and Engineering: A, 2023, 886, 145653.

(5)  Changqing Shu, Zhengjun Yao*, Shasha Zhang*, et al., Biomimetic micro-laminated structure endows cermet with excellent strength and toughness using CoCrCuFeNi as infiltration layers, Ceramics International, 2023, 49, 39875.

(6)  Shasha Zhang*, Haiquan Du, et al., Superior high temperature creep resistance of a cast Al-Mg-Ca-Sc alloy with multi-scale hierarchical microstructures, Materials Science and Engineering A, 2022, 850, 143533.

(7)  Wenbo Du, Zhengjun Yao, Xuewei Tao, Changqing Shu, Shasha Zhang* Microstructure and mechanical properties of directionally ordered porous Ti3SiC2 prepared using freeze casting[J]. Journal of the European Ceramic Society, 2022, 42, 6908,

(8)  Mengxin Yao, Zhengjun Yao*, Xuewei Tao, Chengjun Huang, Shasha Zhang*, Alleviating plastic anisotropy of boron modified titanium alloy by constructing layered structure via electron beam directed energy deposition, Additive manufacturing, 2022, 50, 102561.

(9)  Du W , Yao Z , Shasha Zhang*, In-situ reactive synthesis porous two-scale lamellar Ti3SiC2 intermetallic compound. Powder Technology, 2022.

(10)  Shasha Zhang*, Jakub Cizek, Zhengjun Yao, Oleksandr Moliar, Xiangshan Kong*; Changsong Liu, Niels van dijk,  Sybrand van der Zwaag, Self healing of radiation-induced damage in Fe-Au and Fe-Cu alloys: Combining positron annihilation spectroscopy with TEM and ab initio calculations, Journal of Alloys and Compounds, 2019, 817: 152765.

指导研究生情况:

指导硕士研究生10余名,指导研究生获“挑战杯”国赛二等奖(排序 1/3)、“华为杯”中国研究生人工智能创新大赛三等奖(排序 1/1)等奖励 36 人次。