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Dr Patrick Tung

Dr Patrick Tung

Technical Officer
Research & Enterprise
RESTECH

Patrick is the AI Imaging Scientist at Research Technology Services. Here, he collaborates with researchers across UNSW across all domains on projects that exploit artificial intelligence in computer vision. He was also an Imaging Scientist as a postdoctoral researcher at the Tyree Micro-Computed Tomography Lab at UNSW applying deep learning for 3-dimensional analysis of material structures. He also spent time in Prague and Denmark as a postdoctoral reseacher to participate in developing new reconstruction algorithms for 3D microstructural analysis in neutron instruments at the European Spallation Source. 

My research focuses on applying artificial intelligence imaging to extract the structure-property relationships in materials.
E-mail
patrick.tung@unsw.edu.au
  • Journal articles | 2022
    2022, 'Deep learning for full-feature X-ray microcomputed tomography segmentation of proton electron membrane fuel cells', Computers and Chemical Engineering, 161, pp. 107768 - 107768, http://dx.doi.org/10.1016/j.compchemeng.2022.107768
    Journal articles | 2022
    2022, 'Deep-XFCT: Deep Learning 3D-Mineral Liberation Analysis with Micro-X-ray Fluorescence and Computed Tomography', Energies, 15, http://dx.doi.org/10.3390/en15155326
    Journal articles | 2021
    2021, 'Trindex – 3D grain orientation mapping with neutron imaging', Acta Crystallographica Section A Foundations and Advances, 77, pp. C654 - C654, http://dx.doi.org/10.1107/s0108767321090413
    Journal articles | 2019
    2019, 'Achieving large electric-field-induced strain in lead-free piezoelectrics', Materials Research Letters, 7, pp. 173 - 179, http://dx.doi.org/10.1080/21663831.2019.1570979
    Journal articles | 2018
    Tung PK M; Major M; Hudspeth J; Daniels JE, 2018, 'Compositional dependence of disordered structures in Na½Bi½TiO3-BaTiO3 solid solutions', Materials Research Bulletin, 106, pp. 301 - 306, http://dx.doi.org/10.1016/j.materresbull.2018.06.019
    Journal articles | 2017
    Geiger PT; Clemens O; Khansur NH; Hinterstein M; Sahini MG; Grande T; Tung P; Daniels JE; Webber KG, 2017, 'Nonlinear mechanical behaviour of Ba0.5Sr0.5Co0.8Fe0.2O3 − δ and in situ stress dependent synchrotron X-ray diffraction study', Solid State Ionics, 300, pp. 106 - 113, http://dx.doi.org/10.1016/j.ssi.2016.11.027
    Journal articles | 2017
    2017, 'Disordered structures in lead-free piezoelectrics', Acta Crystallographica Section A Foundations and Advances, 73, pp. C1046 - C1046, http://dx.doi.org/10.1107/s205327331708528x
    Journal articles | 2013
    Tung PK M; Mudie S; Daniels JE, 2013, 'Hydration and radiation effects on the residual stress state of cortical bone', Acta Biomaterialia, 9, pp. 9503 - 9507, http://dx.doi.org/10.1016/j.actbio.2013.07.028
  • Preprints | 2022
    2022, Deep-XFCT: Deep learning 3D-mineral liberation analysis with micro X-ray fluorescence and computed tomography, , http://dx.doi.org/10.3390/en15155326
    Preprints | 2021
    2021, A multimodal operando neutron study of the phase evolution in a graphite electrode, , http://dx.doi.org/10.48550/arxiv.2104.03564

My research focuses on applying artificial intelligence imaging to extract the structure-property relationships in materials.