Dr Jack Yang
Lecturer

Dr Jack Yang

2010 Doctor of Philosophy, School of Material Science and Engineering, UNSW

2010 Graduate Certificate in Research Management and Commercialization, School of Biotechnology and Biomolecular Science, UNSW

2007 Bachelor of Science (Nanotechnology, Honor Class 1), School of Material Science and Engineering, UNSW

Science
School of Materials Science & Engineering

Jan 2019 – Present  Lecturer, School of Material Science and Engineering & MMFI, UNSW

Jul 2017 – Dec 2018 Research Fellow, School of Material Science and Engineering & MMFI, UNSW

Jul 2017 – Dec 2019  Postdoctoral Research Fellow, Australian Nuclear Science and Technology Organization (ANSTO)

Oct 2013 – Jun 2017 Postdoctoral Research Fellow (with Prof. Graeme M. Day), School of Chemistry, University of Southampton, United Kingdom

May 2011 – Oct 2013 Postdoctoral Scientist (with Dr. Mark P. Waller), Organic Chemistry Institute, Westfälische Wilhelms-Universität Münster, Germany

  • Journal articles | 2022
    Geng X; Chang T; Fan J; Wang Y; Wang X; Sun Y; Selvarajan P; Liu C; Lin CH; Wang X; Yang J; Cheng Z; Kalantar-Zadeh K; Cao X; Wang D; Vinu A; Yi J; Wu T, 2022, 'Tuning Phase Transition and Thermochromic Properties of Vanadium Dioxide Thin Films via Cobalt Doping', ACS Applied Materials and Interfaces, vol. 14, pp. 19736 - 19746, http://dx.doi.org/10.1021/acsami.2c03113
    Journal articles | 2022
    Xu H; Yang J; Ge R; Zhang J; Li Y; Zhu M; Dai L; Li S; Li W, 2022, 'Carbon-based bifunctional electrocatalysts for oxygen reduction and oxygen evolution reactions: Optimization strategies and mechanistic analysis', Journal of Energy Chemistry, vol. 71, pp. 234 - 265, http://dx.doi.org/10.1016/j.jechem.2022.03.022
    Journal articles | 2022
    Yang N; Zhang J; Huang JK; Liu Y; Shi J; Si Q; Yang J; Li S, 2022, 'Multitasking Memristor for High Performance and Ultralow Power Artificial Synaptic Device Application', ACS Applied Electronic Materials, vol. 4, pp. 3154 - 3165, http://dx.doi.org/10.1021/acsaelm.2c00663
    Journal articles | 2021
    Zhang J; Yang J; Causer GL; Shi J; Klose F; Huang JK; Tseng A; Wang D; Zu X; Qiao L; Pham A; Li S, 2021, 'Realization of exchange bias control with manipulation of interfacial frustration in magnetic complex oxide heterostructures', Physical Review B, vol. 104, http://dx.doi.org/10.1103/PhysRevB.104.174444
    Journal articles | 2020
    Liu Y; Yang J; Liu Y; Zheng J; Lee W; Shi J; Horlyck J; Xie J; Tay YY; Tan TT; Yu D; Mole R; McIntyre G; Zhang C; Toe CY; Waite TD; Scott J; Wang Y; Wu T; Han S; Li S, 2020, 'Manipulation of planar oxygen defect arrangements in multifunctional magnèli titanium oxide hybrid systems: From energy conversion to water treatment', Energy and Environmental Science, vol. 13, pp. 5080 - 5096, http://dx.doi.org/10.1039/d0ee02550j
    Journal articles | 2014
    Waller MP; Kumbhar S; Yang J, 2014, 'A Density-Based Adaptive Quantum Mechanical/Molecular Mechanical Method', CHEMPHYSCHEM, vol. 15, pp. 3218 - 3225, http://dx.doi.org/10.1002/cphc.201402105
    Journal articles | 2013
    Dresselhaus T; Yang J; Kumbhar S; Waller MP, 2013, 'Hybrid Metaheuristic Approach for Nonlocal Optimization of Molecular Systems', JOURNAL OF CHEMICAL THEORY AND COMPUTATION, vol. 9, pp. 2137 - 2149, http://dx.doi.org/10.1021/ct301079m

2021 UNSW Science Faculty Research GrantSolid Catalysts for Solarthermal Ammonia Synthesis – Exploring the Uncharted Territory of Quaternary Oxides ($4,000)

2020 UNSW MMFI Seed Funding, Solid Catalysts for Solarthermal Ammonia Synthesis – Exploring the Uncharted Territory of Ternary Oxides ($20,000)

2020 Postgraduate Council Research Supervisor Award (UNSW)  

I am a computational chemist interested in the structural-property relationships across a diverse range of materials, including organic crystals and inorganic perovskites. He is particularly interested in the electron-phonon interactions in these systems and looking at how their electronic, thermal, as well as catalytic properties are affected by their structures. In his research group, they aim to shift the paradigm of serendipity-driven research to an informed approach. By applying high-throughput simulations on supercomputers to screening through thousands of materials, they are able to find out candidates with desirable physical/chemical properties before going to make and test them in the labs. To further discover intriguing information behind results obtained from high-throughput simulations, we develop and apply new machine-learning methods to explore the structural-property relationships in complex materials.

My Teaching

MATS3006 Computational Modelling