Zhang, Yuanpeng - Oak Ridge National Laboratory

个人简介

Awards 2022 NSD Best Paper Award Education PhD degree: Queen Mary, University of London (2012 - 2016) Bachelor degree: Beihang University (2008 - 2012) Employment Oak Ridge National Laboratory Oak Ridge, United States Postdoc Research Assistant 2017 – 2019 National Institute of Standards and Technology Maryland, United States & Oak Ridge National Laboratory Oak Ridge, United States Visiting Scientist 2019 – 2020 Oak Ridge National Laboratory Oak Ridge, United States Neutron Scattering Scientist 2020 – Now Professional Service ICDD member of the Synchrotron & Neutron Scattering Methods Subcommittee

研究领域

Working as neutron scattering scientist at ORNL, Dr. Yuanpeng Zhang has been actively involved in software development and scientific research activities. The software development part mainly involves the development and maintenance of tools for neutron scattering data reduction and analysis, such as ADDIE environment for neutron total scattering data reduction, ADDIE web interface for structure mining and online Bragg and pair distribution function refinement, RMCProfile package for fitting scattering data based on supercell approach. Meanwhile, he is also interfacing the beamline scientists team and the software development team at ORNL, actively working on the development of Mantid framework for powder diffraction data reduction. His research interest mainly focuses on the application of neutron total scattering to look at local structure of materials - both nucleus and magnetic. The local environment plays an important role in determining properties in a wide range of functional materials, e.g., the polarization behavior in ferroelectric materials, ion transportation behavior in energy story materials, magnetic anisotropy in low dimensional magnetic systems, etc. His research interest at this point is to utilize total scattering technique to reveal local structure for energy storage (e.g. Li-ion battery, functional material (high entropy spinel materials) and low dimensional magnetic system (e.g. 2D vdWs magnetic materials). For futuristic perspective, using machine learning algorithms in phase recognition during phase transition is one of the goals to pursue.

近期论文

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H. Liu, X. Shi, Y. Yao, H. Luo, Q. Li, H. Huang, H. Qi, Y. Zhang, Y. Ren, S. D Kelly, K. Roleder, J. C. Neuefeind,L. Chen, X. Xing, and J. Chen, Emergence of high piezoelectricity from competing local polar order-disorder in relaxor ferroelectrics, Nat. Commun., 2023, 145, 6194-6202. Z. Sun, J. Zhang, H. Luo, Y. Yao, N. Wang, L. Chen, T. Li, C. Hu, H. Qi, S. Deng, L. C. Gallington, Y. Zhang, J. C Neuefeind, H. Liu, and J. Chen, Superior Capacitive Energy-Storage Performance in Pb-Free Relaxors with a Simple Chemical Composition, J. Am. Chem. Soc., 2023, 145, 6194-6202. Y. P. Zhang*, J. Liu, and M. G. Tucker, Lorentz factor for time-of-flight neutron Bragg and total scattering, Acta Cryst., 2023, A79, 20-24. X. Wang, B. L. Musico, C. Kons, P. C. Metz, V. Keppens, D. A. Gilbert, Y. P. Zhang, and K. Page, Local cation order and ferrimagnetism in compositionally complex spinel ferrites, APL. Mater., 2022, 10, 121102. Q. Zhang*, Y. Zhang*, M. Matsuda, V. O. Garlea, J. Yan, M. A. McGuire, D. A. Tennant and S. Okamoto, https://doi.org/10.1021/jacs.2c05665, J. Am. Chem. Soc., 2022, 144, 14339-14350. F. P. Marlton, S. Nayak, S. Venkateshwarlu, N. H. Chan, J. Kong, Y. Zhang, M. G. Tucker, M. R. V. Jorgensen and A. Pramanick, https://doi.org/10.1021/acs.chemmater.1c03066, Chem. Mater., 2021, 32, 8844–8853. X. Wang, B. Jiang, Y. P. Zhang, K. Young-II and K. Page, https://doi.org/10.1021/acs.inorgchem.1c01594, Inorg. Chem., 2021, 60, 14190–14201. J. Marcia, Y. Zhang, X. Zhao, H. Xu, A. Mesbah, E. T. Nienhuis, S. Szenknect, J. C. Neuefeind, J. Lin, L. Qi, A. A. Migdisov, R. C. Ewing, N. Dacheux , J. S. McCloy and X. Guo, Thermodynamic non-ideality and disorder heterogeneity in actinide silicate solid solutions, NPJ Mater. Degrad., 2021, 5, 24. S. Roy, S. Sharma, W. V. Karunaratne, F. Wu, R. Gakhar, D. S. Maltsev, P. Halstenberg, M. Abeykoon, S. K. Gill, Y. Zhang, S. M. Mahurin, S. Dai, V. S. Bryantsev, C. J. Margulis and A. S. Ivanov. X-ray Scattering Reveals Ion Clustering of Dilute Chromium Species in Molten Chloride Medium, Chem. Sci., 2021, 12,8026–8035. J. Peng, M. Y. Ou, H. C. Yi, X. P. Sun, Y. P. Zhang, et al., Defect-free-induced Na+ disordering in electrode materials, Energy Environ. Sci., 2021, 14, 3130–3140. B. Jiang, C. A. Bridges, R. R. Unocic, K. C. Pitike, V. R. Cooper, Y. P. Zhang, D. Y. Lin and K. Page, Probing the Local Site Disorder and Distortion in Pyrochlore High-Entropy Oxides, J. Am. Chem. Soc., 2021, 143 (11),4193–4204. F. P. Marlton, Z. M. Zhao, Y. P. Zhang, T. E. Proffen, C. D. Ling and B. J. Kennedy, Lattice Disorder and Oxygen Migration Pathways in Pyrochlore and Defect-Fluorite Oxides, Chem. Mater., 2021, 33 (4), 1407–1415. Y. Zhang, M. Eremenko, V. Krayzman, M. G. Tucker and I. Levin, New capabilities for enhancement of RMCProfile: instrumental profiles with arbitrary peak shapes for structural refinements using the reverse Monte Carlo method, J. Appl. Crystallogr., 2020, 53, 1509–1518. C. Li, Y. P. Zhang, J. Liu and H. A. Graetsch. Long-Range and Local Structure of SrxBa1–xNb2O6 (x = 0.33 and 0.67) across the Ferroelectric–Relaxor Transition, Chem. Mater., 2020, 32 (5), 1844–1853. Z. Deng, M. Y. Ou, J. Wan, S. Li, Y. Y. Li, Y. P. Zhang, et al., Local Structural Changes and Inductive Effects on Ion Conduction in Antiperovskite Solid Electrolytes, Chem. Mater., 2020, 32 (20), 8827–8835. Y. P. Zhang*, M. McDonnell, W. Liu and M. G. Tucker*. Reverse Monte Carlo modeling for low-dimensional systems, J. Appl. Cryst., 2019, 52, 1035-1042. Y. P. Zhang*, M. McDonnell, S. A. Calder and M. G. Tucker*. Mechanistic Insights into the SuperexchangeInteraction-Driven Negative Thermal Expansion in CuO, J. Am. Chem. Soc., 2019, 141, 6310-6317. Y. P. Zhang, T. Scholz, R. Dronskowski*, M. McDonnell and M. G. Tucker*. Local magnetic cluster size identified by neutron total scattering in the site-diluted spin glass SnxFe4-xN (x=0.88). Phys. Rev. B, 2019,100, 014419. J. X. Hu*, T. H. Huang*, Y. P. Zhang, B. Hu, H. Q. Ye, B. J. Chen, H. P. Xia and C. Y. Ji. Enhanced deep-red emission from Mn4+/Mg2+ co-doped CaGdAlO4 phosphors for plant cultivation. Dalton Trans., 2019, 48,2455-2466. J. X. Hu, Y. P. Zhang, H. P. Xia*, H. Q. Ye, B. J. Cheng and Y. S. Zhu. NIR Downconversion and Energy Transfer Mechanisms in Tb3+/Yb3+ Codoped Na5Lu9F32 Single Crystals. Inorg. Chem., 2018, 57, 7792-7796.