Rodney Ewing

Professor

Stanford University

United States

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Rodney Ewing is a Professor at Stanford University in the United States. His research areas include phase transformations in MAX phases, crystal chemistry of zircon structure-type materials, and environmental impacts related to underground nuclear weapons testing. He has contributed to various studies on rare earth production, superparamagnetic systems, and the properties of lanthanide titanates and zirconates.

Articles (15)

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2025

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2024

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2022

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2022

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2022

Collaborators (3)

Fei Gao

Professor

University of Michigan

UNITED STATES

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Maik Lang

Associate Professor

University of Tennessee

UNITED STATES

View details

haidong zhou

Associate Professor

University of Tennessee

UNITED STATES

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Rodney Ewing

Research Interests

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Articles (15)

Multi-stage phase transformation pathways in MAX phases

Improving the creation of SiV centers in diamond via sub-μs pulsed annealing treatment

Pyrochlore-type lanthanide titanates and zirconates: Synthesis, structural peculiarities, and properties

Environmental impacts of underground nuclear weapons testing

Crystal chemistry and thermodynamic properties of zircon structure-type materials

Reimagining US rare earth production: Domestic failures and the decline of US rare earth production dominance – Lessons learned and recommendations

Critical metal resources in Democratic People’s Republic of Korea

Effect of Dipole Interactions on Blocking Temperature and Relaxation Dynamics of Superparamagnetic Iron-Oxide (Fe3O4) Nanoparticle Systems

Phase transformation and radiation resistance of B-site high entropy pyrochlores

Systematic study of short- and long-range correlations in RE3TaO7 weberite-type compounds by neutron total scattering and X-ray diffraction

Probing structural disorder in zircon by electron backscatter diffraction (EBSD): Radiation damage and Kikuchi pattern

Unexpectedly narrower track diameter at site of fission event

Phase stability of pre‐irradiated CeO2 with swift heavy ions under high pressure up to 45 GPa

Machine learning improves satellite imagery analysis of North Korean nuclear activity

Nuclear waste from small modular reactors

Collaborators (3)

Fei Gao

Maik Lang

haidong zhou

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