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Kevin Garrity

Research Physicist, Materials Structure and Data Group

I am a computational materials scientist / theoretical condensed matter physicist. My research consists most frequently of using first principles computational tools, such as density functional theory (DFT), to understand and predict the properties of useful new materials. These calculations are used to both lead experiments into useful new areas and help understand  previous experimental findings.

Within that framework, I have worked on many different materials types and materials properties, including surfaces and interfaces, ferroelectrics, topological insulators, thermoelectrics, catalysts, and semiconductors, as well as on computational techniques like pseudopotentials.

My work at NIST has focused on using high-throughput computational techniques, where a large database of materials like the ICSD (SRD 84) is screened computationally to assess the suitability of individual materials for a particular application. First principles calculations are ideal for an initial screening procedure, as they do not require experimental input and can potentially be applied to hundreds or thousands of materials automatically. After the initial computationally efficient screening, the most promising materials can be subjected to further theoretical or experimental consideration.


Distinct magneto-Raman signatures of spin-flip phase transitions in CrI3

Amber D. McCreary, Thuc T. Mai, Franz Utermohlen, Jeffrey R. Simpson, Kevin F. Garrity, Xiaozhou Feng, Dmitry Shcherbakov, Yanglin Zhu, Jin Hu, Daniel Weber, Kenji Watanabe, Takashi Taniguchi, Joshua Goldberger, Zhiqiang Mao, Chun Ning Lau, Yuanming Lu, Nandini Trivedi, Rolando Valdes Aguilar, Angela R. Hight Walker
The discovery of 2-dimensional (2D) materials, such as CrI3, that retain magnetic ordering down to monolayer thickness, and even more have layer-dependent
Created December 10, 2018