Amanda Krause

Assistant Professor

Carnegie Mellon University

United States

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Amanda Krause is an Assistant Professor at Carnegie Mellon University in the United States. Her research focuses on grain growth mechanisms, particularly related to materials such as nickel, alumina, and strontium titanate. Recent publications include studies on grain boundary energy, microstructure evolution using machine learning, and the analysis of abnormal grain growth behaviors.

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2025

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2021

Collaborators (8)

Gregory S. Rohrer

UNITED STATES

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Bai Cui

University of Nebraska - Lincoln

UNITED STATES

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Leigha Lynch

UNITED STATES

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Emily Waters

Research Assistant Professor

Northwestern University

UNITED STATES

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Heather F. Smith

UNITED STATES

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Christopher Marvel

Assistant Professor

Louisiana State University

UNITED STATES

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A. Murat Maga

Associate Professor

University of Washington

UNITED STATES

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Robert Suter

Professor

Carnegie Mellon University

UNITED STATES

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Amanda Krause

Research Interests

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About

Articles (20)

4D Observations of the initiation of abnormal grain growth in commercially pure Ni

Elucidating grain boundary energy minimization mechanisms in textured Ca-doped alumina with inclination-dependent Monte Carlo Potts simulations

The effect of local geometry and relative energy on grain boundary area changes during grain growth in SrTiO<sub>3</sub>

The role of networks to overcome large-scale challenges in tomography: The non-clinical tomography users research network

Grain boundary migration in polycrystalline α-Fe

Large pores promote abnormal grain growth behavior in calcia doped alumina

A triple junction energy study using an inclination-dependent anisotropic Monte Carlo Potts grain growth model

A new efficient grain growth model using a random Gaussian-sampled mode filter

Anisotropic physics-regularized interpretable machine learning of microstructure evolution

Engineering grain boundary energy with thermal profiles to control grain growth in SrTiO<sub>3</sub>

Observations of unexpected grain boundary migration in SrTiO<sub>3</sub>

Grain Boundary Migration in Polycrystals

Automated, high-accuracy classification of textured microstructures using a convolutional neural network

A novel physics-regularized interpretable machine learning model for grain growth

Engineering grain boundary anisotropy to elucidate grain growth behavior in alumina

Mitigating CMAS Attack in Model YAlO<sub>3</sub> Environmental Barrier Coatings: Effect of YAlO<sub>3</sub> Crystal Orientation on Apatite Nucleation

Calculating the grain boundary inclination of voxelated grain structures using a smoothing algorithm

Microstructures and mechanical properties of α‐SiC ceramics after high‐temperature laser shock peening

Effect of Eu-doping and grain boundary plane on complexion transitions in MgAl<sub>2</sub>O<sub>4</sub>

High-temperature interactions between Yttria-stabilized zirconia thermal barrier coatings and Na-Rich calcia-magnesia-aluminosilicate deposits

Collaborators (8)

Gregory S. Rohrer

Bai Cui

Leigha Lynch

Emily Waters

Heather F. Smith

Christopher Marvel

A. Murat Maga

Robert Suter

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