Select Publications

Journal articles

Schonvogel D; Belack J; Vidakovic J; Schmies H; Uhlig LM; Langnickel H; Man Tung PK; Meyer Q; Zhao C; Wagner P, 2024, 'Performance and durability of high temperature proton exchange membrane fuel cells with silicon carbide filled polybenzimidazole composite membranes', Journal of Power Sources, 591, http://dx.doi.org/10.1016/j.jpowsour.2023.233835

Tung P; Halim A; Wang H; Rich A; Chen X; Regenauer-Lieb K; Marjo C, 2024, 'Deep learning 3D-mineral liberation analysis with micro-X-ray fluorescence, micro-computed tomography, and deep learning segmentation', BIO Web of Conferences, 129, pp. 27004 - 27004, http://dx.doi.org/10.1051/bioconf/202412927004

Tung PKM; Halim AY; Wang H; Rich A; Marjo C; Regenauer-Lieb K, 2023, 'Deep-XFCT: deep learning 3D mineral liberation analysis with micro-X-ray fluorescence and computed tomography', Acta Crystallographica Section A Foundations and Advances, 79, pp. C1159 - C1159, http://dx.doi.org/10.1107/s2053273323084620

Tung PKM; Halim AY; Wang H; Rich A; Marjo C; Regenauer-Lieb K, 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

Tang K; Meyer Q; White R; Armstrong RT; Mostaghimi P; Da Wang Y; Liu S; Zhao C; Regenauer-Lieb K; Tung PKM, 2022, 'Deep learning for full-feature X-ray microcomputed tomography segmentation of proton electron membrane fuel cells', Computers and Chemical Engineering, 161, http://dx.doi.org/10.1016/j.compchemeng.2022.107768

Tung PKM; Samothrakitis S; Larsen C; Elewa N; Kiyanagi R; Shinohara T; Kuhn LT; Woracek R; Strobl M; Šittner P; Schmidt S, 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

Tung P; Daniels JE; Major M; Schneider D; Chen R; Luo H; Granzow T, 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

Tung PKM; 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

Tung PKM; Major M; Hudspeth J; Hoffmann C; Daniels J, 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

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

Tung PKM; 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

Strobl M; Baur ME; Samothraktis S; Malamud F; Zhang X; Tung PKM; Schmidt S; Woracek R; Lee J; Kiyanagi R; Kuhn LT; Segev IG; Ein-Eli Y, 2024, Concurrent operando neutron imaging and diffraction analysis revealing spatial lithiation phase evolution in an ultra-thick graphite electrode, http://dx.doi.org/10.48550/arxiv.2411.08476

Tung PKM; Halim AY; Wang H; Rich A; Marjo C; Regenauer-Lieb K, 2022, Deep-XFCT: Deep learning 3D-mineral liberation analysis with micro X-ray fluorescence and computed tomography, http://dx.doi.org/10.3390/en15155326

Lăcătuşu M-E; Kuhn LT; Johnsen RE; Tung PKM; Schmidt S; Shinohara T; Kiyanagi R; Tremsin AS; Elewa N; Woracek R; Strobl M, 2021, A multimodal operando neutron study of the phase evolution in a graphite electrode, http://arxiv.org/abs/2104.03564v1


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