About Us

Welcome to the Nuclear Oriented Materials & Examination (NOME) Laboratory at the University of Michigan. Our research focuses on three broad areas: (i) advanced manufacturing and alloy development: development of novel processing routes and compositions to obtain high performance alloys for nuclear energy applications, (ii) radiation effects and characterization: examination of the materials changes induced through radiation using advanced characterization techniques, and (iii) emerging technologies: rapid exploration of disruptive technologies including data analytics for nuclear energy applications.

We are a diverse and multidisciplinary team with backgrounds in nuclear engineering, materials science, physics, and mechanical engineering. Our laboratory leverages the vast resources at University of Michigan including the Michigan Ion Beam Laboratory and the Michigan Center for Materials Characterization. We also partner with external collaborators such as Idaho National Laboratory and Oak Ridge National Laboratory and use scientific user facilities such as the Nuclear Science User Facility to accomplish our research and development goals.

The NOME lab welcomes innovative thought and seeks to foster a culture that uses diversity and cross-cutting activities to springboard new innovations in nuclear materials.

Details on how to join NOME lab.

Projects

We work at the interface between materials synthesis, advanced characterization, and nuclear energy

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Precipitate Stability and Helium Trapping in Advanced Steels

Precipitate Stability and Helium Trapping in Advanced Steels

Understanding helium and precipitation in steels.

Radiation Effects in Additive Manufactured Steels

Radiation Effects in Additive Manufactured Steels

Use MIBL and MC2 to conduct irradiation and post-irradiation examination of AM HT-9

Wire Arc Additive Manufacturing of Nuclear Steels

Wire Arc Additive Manufacturing of Nuclear Steels

Optimizing processing parameters of wire arc additive manufactered nuclear steels.

Rapid Simulation of Irradiation Damage in PWR Internals

Rapid Simulation of Irradiation Damage in PWR Internals

Using ion beams to emulate neutron irradiation after preconditioning.

FeCrAl Handbook Development

FeCrAl Handbook Development

Develop and maintain the world leading resource of FeCrAl materials properties for nuclear power applications

Defect Detection Using Deep Learning

Defect Detection Using Deep Learning

Using machine vision techniques for rapid defect detection in electron microscopy images.

Simulating Neutrons Using Accelerated Ions

Simulating Neutrons Using Accelerated Ions

Using ion beams to emulate neutron irradiation.

Meet the NOME Lab team

Principal Investigators

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Kevin G. Field

Associate Professor

Radiation Effects, Advanced Alloys, Novel Manufacturing & Characterization, Data Analytics

Post Docs

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Priyam Patki

Post Doctoral Fellow

Radiation Effects, Characterization, Nanostructured Alloys, Nanomechanical Testing

Grad Students

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Gabriella Bruno

Graduate Student

Advanced Nuclear Materials, Advanced Reactor Design, Reactor Fuels

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Mackenzie Warwick

Graduate Student

Advanced fission and fusion reactor design, Advanced nuclear materials, Superalloy development for reactor applications, Reactor safety analysis

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Matthew Lynch

Graduate Student

Machine Learning, Radiation Effects, Molten Salt Reactors

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Pengyuan Xiu

Graduate Student

Radiation Effects in Advanced Alloys, Advanced Characterization, Mechanical Behaviors of Irradiated Materials

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T.M. Kelsy Green

Graduate Student

Additive Manufacturing, Radiation Effects, Advanced Characterization

Undergraduates

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Ethan Polselli

Undergraduate

Radiation Effects, Advanced Nuclear Materials

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Rett Graham

Undergraduate

Additive Design, Engine Systems Design, Machine Learning, Data Analytics

Alumni

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Daniel Román Torres

Undergraduate

Advanced Reactors Systems, Alternative Energy Systems, Combustion Engines

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Steven Chen

Undergraduate

Thermal Hydraulics, Computational Physics, Advanced Reactors, Nuclear Materials

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Tommy (Chun Yin) Wong

Undergraduate

Radiation Effects, Fusion & Plasma-Facing Materials, Computational Materials Science, Machine Learning

Contact

  • 2355 Bonisteel Blvd, Ann Arbor, MI 48109
  • 2929 Cooley Bldg.