Understanding grain boundaries–The role of crystallography, structural descriptors and machine learning

S Patala - Computational Materials Science, 2019 - Elsevier
Grain boundaries (GBs) influence a wide array of physical properties in polycrystalline
materials and play an important role in governing microstructural evolution under extreme …

AQUAMI: An open source Python package and GUI for the automatic quantitative analysis of morphologically complex multiphase materials

J Stuckner, K Frei, I McCue, MJ Demkowicz… - Computational Materials …, 2017 - Elsevier
Micrographs of materials contain microstructural information that is quantifiable in principle,
but difficult to extract in practice. We present Automatic QUantitative Analysis of Microscopy …

[HTML][HTML] A machine learning approach to map crystal orientation by optical microscopy

M Wittwer, M Seita - npj Computational Materials, 2022 - nature.com
Mapping grain orientation in crystalline solids is essential to investigate the relationships
between local microstructure and crystallography and interpret materials properties. One of …

Microstructure-mechanical property correlation in shot peened and vibro-peened Ni-based superalloy

D Kumar, S Idapalapati, W Wang, DJ Child… - Journal of Materials …, 2019 - Elsevier
In this experimental research, shot peening (SP) and vibro-peening (VP) processes were
employed to modify the surface and sub-surface of a Ni-based superalloy Udimet® 720Li …

[HTML][HTML] Optical characterization of grain orientation in crystalline materials

B Gaskey, L Hendl, X Wang, M Seita - Acta Materialia, 2020 - Elsevier
Characterizing crystallographic orientation is essential for assessing structure-property
relationships in crystalline solids. While diffraction methods have dominated this field, low …

A physics-based model for crystal orientation dictionary indexing by directional reflectance microscopy

C Zhu, M Seita - Acta Materialia, 2022 - Elsevier
Directional reflectance microscopy (DRM) is a new optical technique that enables grain
orientation mapping in crystalline solids by capturing and analyzing light reflectance signals …

[HTML][HTML] Crystallographic texture can be rapidly determined by electrochemical surface analytics

A Speidel, R Su, J Mitchell-Smith, P Dryburgh… - Acta Materialia, 2018 - Elsevier
Orientation affects application-defining properties of crystalline materials. Hence, information
in this regard is highly-prized. We show that electrochemical jet processing (EJP), when …

Five degree-of-freedom property interpolation of arbitrary grain boundaries via Voronoi fundamental zone framework

SG Baird, ER Homer, DT Fullwood… - Computational Materials …, 2021 - Elsevier
We introduce the Voronoi fundamental zone (VFZ) framework which is useful for grain
boundary (GB) structure–property models and gaining insights about the nature of a five …

[HTML][HTML] An automated and unbiased grain segmentation method based on directional reflectance microscopy

M Wittwer, B Gaskey, M Seita - Materials Characterization, 2021 - Elsevier
Identifying individual grains from sectioned polycrystalline metals is a foundational task of
microstructure analysis. However, traditional grain segmentation methods applied to optical …

Acquisition of partial grain orientation information using optical microscopy

M Seita, MM Nimerfroh, MJ Demkowicz - Acta Materialia, 2017 - Elsevier
Optical microscopy (OM) is often the first technique used to characterize surfaces of
materials because of its simplicity and low cost. However, the information obtained by OM is …