Research output per year
Research output per year
Personal profile
Biography
Dr. Daniel Murray is the department manager for advanced materials characterization. He obtained his Ph.D. from the University of Nevada Reno in 2016. Prior to INL, he worked at Lawrence Berkeley National Laboratory. His current research involves advanced ion characterization and surface analysis of nuclear fuels and materials including transuranics. He has extensive experience with focused ion beam microscopy, transmission electron microscopy, and optical spectroscopy.
Research Interests
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Micro structural characterization of nuclear materials
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In-situ measurement of electronic and thermal properties of materials in the FIB
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Nanostructured materials
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Surface science
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Secondary ion mass
Education/Academic qualification
PhD, Materials Chemistry, University of Nevada, Reno
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Integrated approach to post-irradiation examination of nuclear materials at Idaho National Laboratory
Cappia, F., Murray, D., Miller, B., Burke, G., Gan, J., Craft, A. & Judge, C., Jun 2024, p. 554. 1 p.Research output: Contribution to conference › Abstract › peer-review
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Microstructural and micromechanical characterization of Cr diffusion barrier in ATR irradiated U-10Zr metallic fuel
Wang, Y., Howard, C. B., Xu, F., Salvato, D., Bawane, K. K., Murray, D. J., Frazer, D. M., Anderson, S. T., Yao, T., Yeo, S., Kim, J. H., Lee, B. O., Kim, J. H., Fielding, R. S. & Capriotti, L., Oct 2024, In: Journal of Nuclear Materials. 599, 155231.Research output: Contribution to journal › Article › peer-review
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SEABORG_FIB_TOMO: Validating the Accuracy of 3D Corrosion Modeling at the Mesoscale
INL Software, Copeland-Johnson, T. (Developer), Murray, D. (Developer) & Cao, G. (Developer), 2024Research output: Non-textual form › Software
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Segmentation and Classification of Fission as Pores in Reactor Iirradiated Annular U[sbnd]10Zr Metallic Fuel Using Machine Learning Models
Tang, Y., Xu, F., Sun, S., Salvato, D., Di Lemma, F. G., Xian, M., Murray, D. J., Judge, C., Capriotti, L. & Yao, T., Sep 2024, In: Materials Characterization. 215, 114061.Research output: Contribution to journal › Article › peer-review
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3-D reconstruction and microstructural characterization of neutron-irradiated U-10Zr fuel using FIB-SEM serial sectioning
Rodríguez Pérez, N., Thomas, J., Murray, D. & Okuniewski, M. A., Jan 3 2023, In: MRS Advances. 8, 1, p. 14-20 7 p.Research output: Contribution to journal › Article › peer-review
4 Scopus citations
Press/Media
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Energy secretary tours INL with focus on clean energy, national security capabilities
08/3/22
1 item of Media coverage
Press/Media