Improved representations of misorientation information for grain boundary science and engineering

S Patala, JK Mason, CA Schuh - Progress in Materials Science, 2012 - Elsevier
For every class of polycrystalline materials, the scientific study of grain boundaries as well as
the increasingly widespread practice of grain boundary engineering rely heavily on visual …

Raman spectroscopy of piezoelectrics

G Pezzotti - Journal of Applied Physics, 2013 - pubs.aip.org
Raman spectroscopy represents an insightful characterization tool in electronics, which
comprehensively suits the technological needs for locally and quantitatively assessing …

Crystallographic texture and group representations

CS Man - Journal of Elasticity, 2022 - Springer
This exposition consists of three parts. Part I is an introduction to classical texture analysis.
The harmonic method and the approach initiated by Roe, where the orientation distribution …

The generalized Mackenzie distribution: Disorientation angle distributions for arbitrary textures

JK Mason, CA Schuh - Acta Materialia, 2009 - Elsevier
A general formulation for the disorientation angle distribution function is derived. The
derivation employs the hyperspherical harmonic expansion for orientation distributions, and …

Local micro-mechanical stress conditions leading to pore nucleation during dynamic loading

CA Bronkhorst, H Cho, PW Marcy… - International Journal of …, 2021 - Elsevier
Accurately representing the process of porosity-based ductile damage in polycrystalline
metallic materials via computational simulations remains a significant challenge. The …

Raman spectroscopy of biomedical polyethylenes

G Pezzotti - Acta biomaterialia, 2017 - Elsevier
With the development of three-dimensional Raman algorithms for local mapping of oxidation
and plastic strain, and the ability to resolve molecular orientation patterns with microscopic …

Accurate distances measures and machine learning of the texture-property relation for crystallographic textures represented by one-point statistics

T Iraki, L Morand, N Link, S Sandfeld… - … and Simulation in …, 2024 - iopscience.iop.org
The crystallographic texture of metallic materials is a key microstructural feature that is
responsible for the anisotropic behavior, eg important in forming operations. In materials …

The uncorrelated triple junction distribution function: Towards grain boundary network design

OK Johnson, CA Schuh - Acta materialia, 2013 - Elsevier
Triple junctions are recognized as important microstructural features in the context of grain
boundary network topology and grain boundary sensitive materials properties. In spite of this …

Data-driven 2D grain growth microstructure prediction using deep learning and spectral graph theory

J Niño, OK Johnson - Computational Materials Science, 2025 - Elsevier
In this paper, we present an alternative method to grain growth simulations. Traditional grain
growth algorithms can be computationally expensive, especially when considering …

Solidification and crystallographic texture modeling of laser powder bed fusion Ti-6Al-4V using finite difference-monte carlo method

BC Whitney, TM Rodgers, AG Spangenberger… - Materialia, 2024 - Elsevier
Laser powder bed fusion (LPBF) additive manufacturing makes near-net-shaped parts with
reduced material cost and time, rising as a promising technology to fabricate Ti-6Al-4 V, a …