联系方式

薛德祯

工学博士,教授,博士生导师,

国家级青年人才计划

西安交通大学“青拔人才计划(A类)”

科技部重点研发计划首席科学家

联系方式

西安交通大学材料科学与工程学院

金属材料强度国家重点实验室

邮件:xuedezhen@xjtu.edu.cn

办公室:仲英楼A731

广告

长期诚聘博士后/助理教授/副教授,有意者请邮件联系。

Google Scholar

荣誉称号

荣誉称号

2019,国家层次青年人才计划

2017,陕西省普通高校首批“青年杰出人才”计划

2015,西安交通大学优秀博士论文

2015,陕西省优秀博士论文

2014,美国洛斯阿拉莫斯国家实验室院长博士后

2013,教育部高等学校科学研究优秀成果奖自然科学奖一等奖,基于缺陷调控的铁性智能材料新物理效应,任晓兵,张立学,丁向东,杨森,刘文凤,薛德祯    

教育经历

教育经历

2006.09 - 2012.12,西安交通大学 (XJTU),博士材料学

2002.09 - 2006.07,西安交通大学 (XJTU),学士材料科学与工程 

研究经历

2019.07-至今, 西安交通大学材料学院,金属材料强度国家重点实验室,教授

2016.01-2019.07, 西安交通大学材料学院,金属材料强度国家重点实验室,副教授

2013.01-2015.12, 西安交通大学材料学院,金属材料强度国家重点实验室,讲师

2013.11-2015.10, 美国洛斯阿拉莫斯国家实验室,院长博士后(Director's Postdoctoral Fellow)

2012.03-2012.09, 美国洛斯阿拉莫斯国家实验室,访问学生

2010.01-2011.12, 日本国立物质材料研究院,留学基金委联合培养博士生

2008.04-2009.12, 日本国立物质材料研究院,初级研究员

2008.01-2008.03, 日本国立物质材料研究院,实习生

站点计数器

基本信息

基本信息

 

      薛德祯,西安交通大学教授、博导,2013 1 月至今在金属材料强度国家重点实验室工作。

      主要从事材料信息学领域研究,致力于材料学与信息学的交叉融合,在机器学习辅助实现智能材料高性能化方面展开了系统深入的研究,具有扎实的理论基础与丰富的研究经验。发表论文 120 余篇,其中以第一/通讯作者发表在 Nat. Comm.Phys Rev. Lett.PNAS.Adv. Mater.等期刊发表60 余篇(5 ESI 高被引论文);担任《Materials Genome Engineering Advances》、《Advanced Engineering Materials》、Journal of Materials Informatics《Crystals》青年编委/编委,材料基因工程国际高层论坛学术委员会副主任。

      提出的材料自适应设计方法,能够有效减少实验次数,仅通过少量(3-4 次)实验反馈迭代,成功开发出窄滞后相变合金、高性能电致应变、介电储能等新型功能材料,相关方法被中国、美国等多位院士采纳和正面评价,MRS Bulletin 专题推介指出,为新材料的设计开发提供了最好的统计学方法

      入选了国家层次青年人才计划,获得了教育部自然科学奖一等奖(排名第六)、陕西省优秀博士论文、美国洛斯阿拉莫斯国家实验室院长博士后,陕西省高校青年人才支持计划等荣誉。

Blank

代表论文

[1] Sijia Yao, Pengfei Dang, Yiming Li, Yao Wang, Xi Zhang, Ye Liu, Suxin Qian*, Dezhen Xue* & Ya-Ling He*
Efficient roller-driven elastocaloric refrigerator

Nature Communications. 2024; 15, 7203. (* 通讯作者)

[2] Dezhen Xue, Prasanna V. Balachandran, John Hogden, James Theiler, Deqing Xue, Turab Lookman.,

Accelerated search for materials with targeted properties by adaptive design

Nature Communications. 2016; 7:11241.

[3] Dezhen Xue, Prasanna V. Balachandran, Ruihao Yuan, Tao Hu, Xiaoning Qian, Edward R. Dougherty, Turab Lookman.,

Accelerated search for BaTiO3-based piezoelectrics with vertical morphotropic phase boundary: synthesis guided by learning

Proceedings of the National Academy of Sciences, 2016; 113: 13301-13306.

[4] Yumei Zhou, Dezhen Xue,* Tian Y, Xiangdong Ding,* Guo S, Otsuka K, Jun Sun, Xiaobing Ren*,

Direct evidence for local symmetry breaking during a strain glass transition,

Physical Review Letters, 2014; 112:025701. (* 通讯作者)

[5] Pengfei Dang, Cheng Li, Yuanchao Yang, Yumei Zhou*, Yangyang Xu, Xiangdong Ding*, Jun Sun, and Dezhen Xue*
Ultrahigh elastic energy storage in nanocrystalline alloys with martensite nanodomains

Advanced Materials. 2024, DOI: 10.1002/adma.202408275 (* 通讯作者)

[6] Ruihao Yuan, Zhen Liu, Prasanna V. Balachandran, Deqing Xue, Yumei Zhou, Xiangdong Ding, Jun Sun, Dezhen Xue*, and Turab Lookman*

Accelerated Discovery of Large Electrostrains in BaTiO3-based Piezoelectrics using Active Learning

Advanced Materials. 2018; 30, 1702884 (* 通讯作者)

[7] Ruihao Yuan, Abinash Kumar, Shihao Zhuang, Nicholas Cucciniello, Teng Lu, Deqing Xue, Aubrey Penn, Alessandro Mazza, Quanxi Jia, Yun Liu, Dezhen Xue*, Jinshan Li*, Jia-Mian Hu, James M. LeBeau, Aiping Chen*

Machine learning-enabled superior energy storage in ferroelectric films with a slush-like polar state

Nano Letters. 2023, 23, 4807-4814 (* 通讯作者)

[8] Yuan Tian*, Bin Hu, Pengfei Dang, Jianbo Pang, Yumei Zhou, Dezhen Xue*
Noise-Aware Active Learning to Develop High-Temperature Shape Memory Alloys with Large Latent Heat

Advanced Science. 2024; 2406216  (* 通讯作者)

[9] Yuan Tian, Ruihao Yuan, Dezhen Xue*, Yumei Zhou*, Yunfan Wang, Xiangdong Ding, Jun Sun, Turab Lookman* 

Determining Multi-component Phase Diagrams with Desired Characteristics using Active Learning

Advanced Science. 2021; 8, 2003165 (* 通讯作者)

[10] Dingchen Wang,# Songrui Wei,# Anran Yuan, Fanghua Tian, Kaiyan Cao, Qizhong Zhao, Yin Zhang, Chao Zhou, Xiaoping Song, Dezhen Xue,* and Sen Yang*

Machine learning magnetic parameters from spin configurations

Advanced Science. 2020; 7, 2000566 (* 通讯作者 # equally contribute)

[11] Ruihao Yuan, Yuan Tian, Dezhen Xue*, Deqing Xue, Yumei Zhou, Xiangdong Ding*, Jun Sun, and Turab Lookman*

Accelerated Search for BaTiO3-Based Ceramics with Large Energy Storage at Low Fields Using Machine Learning and Experimental Design

Advanced Science. 2019; 6, 1901395 (* 通讯作者)

[12] Yuehui Xian, Pengfei Dang, Yuan Tian, Xue Jiang, Yumei Zhou, Xiangdong Ding, Jun Sun, Turab Lookman*, Dezhen Xue*
Compositional design of multicomponent alloys using reinforcement learning

Acta Materialia. 2024; 274, 120017 (* 通讯作者)

[13] Ruihao Yuan , Zhen Liu*, Yangyang Xu, Ruowei Yin, Jingjin He, Yang Bai, Yumei Zhou, Jinshan Li, Dezhen Xue*, Turab Lookman*

Optimizing Electrocaloric Effect in Barium Titanate-based Room Temperature Ferroelectrics: Combining Landau Theory, Machine Learning and Synthesis

Acta Materialia. 2022; 235, 118054 (* 通讯作者)

[14] Pengfei Dang#, Fan Ye#, Yumei Zhou*, Lei Ding, Jianbo Pang, Lei Zhang, Xiangdong Ding, Jun Sun, Sheng Dai*, Turab Lookman*, Dezhen Xue*

Low-fatigue and large room-temperature elastocaloric effect in a bulk Ti49.2Ni40.8Cu10 alloy

Acta Materialia. 2022; 229, 117802 (* 通讯作者)

[15] Lei Ding, Yumei Zhou*, Yangyang Xu, Pengfei Dang, Xiangdong Ding, Jun Sun, Turab Lookman*, Dezhen Xue*

Learning from superelasticity data to search for Ti-Ni alloys with large elastocaloric effect

Acta Materialia. 2021; 218, 117200 (* 通讯作者)

[16] Jingjin He, Junjie Li, Chuanbao Liu, Changxin Wang, Yan Zhang, Cheng Wen, Dezhen Xue*, Jiangli Cao, Yanjing Su, Lijie Qiao, Yang Bai*

Machine learning identified materials descriptors for ferroelectricity

Acta Materialia. 2021; 209, 116815 (* 通讯作者)

[17] Yan Zhang, Cheng Wen, Changxin Wang, Dezhen Xue*, Yang Bai, Stoichko Antonova, Lanhong Dai and Yanjing Su*

Phase prediction in high entropy alloys with a rational selection of materials descriptors and machine learning models

Acta Materialia. 2020; 185, 528-539 (* 通讯作者)

[18] Yuanchao Yang, Dezhen Xue*, Ruihao Yuan, Yumei Zhou*, Turab Lookman*, Xiangdong Ding, Xiaobing Ren, Jun Sun

Doping effects of point defects in shape memory alloys

Acta Materialia, 2019; 176,177-188. (* 通讯作者)

[19] Cheng Wen, Yan Zhang, Changxin Wang, Dezhen Xue*, Yang Bai, Stoichko Antonova, Lanhong Dai, Turab Lookman and Yanjing Su*

Machine learning assisted design of high entropy alloys with desired property

Acta Materialia. 2019; 170, 109-117 (* 通讯作者)

[20] Dezhen Xue,* Deqing Xue, Ruihao Yuan, Yumei Zhou, Prasanna V. Balachandran, Xiangdong Ding, Jun Sun, Turab Lookman

An Informatics Approach to Transformation Temperatures of NiTi-based Shape Memory Alloys

Acta Materialia, 2017; 125: 532-541. (* 通讯作者)

[21] Zhang Y, Dezhen Xue,* Wu H,* Xiangdong Ding, Turab Lookman, Xiaobing Ren ,

Adaptive ferroelectric state at morphotropic phase boundary: coexisting tetragonal and rhombohedral phases,

Acta Materialia, 2014; 71, 176 (* 通讯作者)

[22] Dezhen Xue,* Yumei Zhou, Xiangdong Ding, Otsuka K, Jun Sun, Xiaobing Ren.,

Martensite aging effects on the dynamic properties of Au–Cd shape memory alloys: Characteristics and modeling.,

Acta Materialia 2011;59:4999. (* 通讯作者)

[23] Shuai Ren, Chao Zhou, Dezhen Xue,*, Dong Wang, Jian Zhang, Xiangdong Ding, Kazuhiro Otsuka, and Xiaobing Ren

Sandwich-like Strain Glass Phase Diagram of Ti49Ni51−xPdx

Physical Review B, 2016; 94: 214112. (* 通讯作者)

[24] Dezhen Xue, Yumei Zhou, Xiangdong Ding, Turab Lookman, Jun Sun, Xiaobing Ren,

Aging and deaging effects in shape memory alloys,

Physical Review B, 2012; 86: 184109

[25] Yuanchao Yang, Yangyang Xu, Yumei Zhou*, Xiangdong Ding, Jun Sun, Turab Lookman,* Dezhen Xue*

Nonthermoelastic martensitic features in ideal martensites due to volume effects

Physical Review B. 2023, 108, 024102 (* 通讯作者)