Shujuan Wang

Amit Misra

Professor and Department Chair

amitmis@umich.edu

3062B H.H. Dow

T: (734) 763-2445

Bio

Publications

Group Members

Research

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Postdoctoral Research Fellow (2016-2018)

Current Position:

Postdoctoral Research Fellow, Los Alamos National Laboratory, New Mexico, USA

Email: msewang116@gmail.com


Academic Training:

 B.S., Materials Science, and Engineering, Central South University, Changsha. China

 

Ph.D., Shenyang National Laboratory for Materials Science, Institute of Metal Research, Chinese Academy of Sciences, Shenyang, China

 

Biography:

  • HeBei, China. A province of central China.

  • Got Ph.D. degree from Institute of Metal Research, Chinese Academy of Sciences and B.S. degree in Materials Science and Engineering department of Central South University. My major is Materials Science.

  • Working on “Plasticity of High-Strength Multiphase Metallic Composites” project. Research focuses on microstructures evolution and deformation mechanisms of nanoscale materials by in situ nanoindentation, compression, and tension in TEM or SEM.

Publications:

Please see the below link:

https://scholar.google.com/citations?hl=en&user=UgG8WLwAAAAJ&view_op=list_works

1. SJ Wang, T Jozaghi, I Karaman, R Arroyaveand and YI Chumlyakov, Hierarchical evolution and thermal stability of microstructure with deformation twins in 316 stainless steel, Mater. Sci. Eng. A 694, 121-131, 2017.

2. SJ Wang, H Wang, K Du, W Zhang, ML Sui, and SX Mao, Deformation-induced structural transition in body-centered cubic molybdenum. Nature Communications 5, 3433, 2014.

3. SJ Wang, ML Sui, Y Chen, Q Lu, E Ma, X Pei, Q Li, H Hu, Microstructure fingerprints of phase transitions in shock-loaded iron, Scientific Reports 3, 1086, 2013.

4. Q Lei, BP Ramakrishnan, S Wang, Y Wang, J Mazumder and A Misra, Structural refinement and nanomechanical response of laser remelted Al-Al2Cu lamellar eutectic, Mater. Sci. Eng. A 706, 115-125, 2017.

5. O Karakoc, C Hayrettin, M Bass, SJ Wang, D Canadinc, JH Mabe, DC Lagoudas and I Karaman, Effects of upper cycle temperature on the actuation fatigue response of NiTiHf high temperature shape memory alloys, Acta Mater., 138, 185-197, 2017.

6. NM Bruno, D Salas, S Wang, IV Roshchin, R Santamarta and R Arroyave, On the microstructural origins of martensitic transformation arrest in a NiCoMnIn magnetic shape memory alloy, Acta Mater., in press, 2017.

7. H Ozcan, J Ma, SJ Wang, I Karaman, Y Chumlyakov, J Brown and RD Noebe, Effects of cyclic heat treatment and aging on superelasticity in oligocrystalline Fe-Mn-Al-Ni shape memory alloy wires, Scripta Mater., 134, 66-70, 2017.

8. A Cox, B Franco, S Wang, T Baxevanis, I Karaman and DC Lagoudas, Predictive modeling of the constitutive response of precipitation hardened Ni-rich NiTi, Shape Memory and Superelasticity, 3 (1), 9-23, 2017.

9. NM Bruno, S Wang, I Karaman and YI Chumlyakov, Reversible martensitic transformation under low magnetic fields in magnetic shape memory alloys, Scientific Reports 7, 40434, 2017.

10. E Dogan, S Wang, MW Vaughan, I Karaman, Dynamic precipitation in Mg-3Al-1Zn alloy during different plastic deformation modes, Acta Mater., 116, 1, 2016.

11. LW Tseng, J Ma, SJ Wang, I Karaman, YI Chumlyakov, Effects of crystallographic orientation on the superelastic response of FeMnAlNi single crystals, Scripta Mater., 116, 147, 2016.

12. E Dogan, MW Vaughan, SJ Wang, I Karaman and G Proust, Role of starting texture and deformation modes on low-temperature shear formability and shear localization of Mg-3Al-1Zn alloy. Acta Mater., 89, 408, 2015.

13. LW Tseng, J Ma, SJ Wang, I Karaman, M Kaya, ZP Luo and YI Chumlyakov. Superelastic response of a single crystalline FeMnAlNi shape memory alloy under tension and compression. Acta Mater., 89, 374, 2015.

14. LW Tseng, J Ma, I Karaman, SJ Wang and Y I Chumlyakov, Superelastic response of the FeNiCoAlTi single crystals under tension and compression, Scripta Mater., 101, 1-4, 2015.

15. H Zhang, SJ Wang, SC Wang, ZC Li, S. Hovomler, and XD Zou. A Structure Model for τ2-Al13Co4 Deduced by the Strong Reflections Approach, J. Comput. Theor. Nanosci., 5, 1-3, 2008.