Improved representations of misorientation information for grain boundary science and engineering
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 …
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 …
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 harmonic method and the approach initiated by Roe, where the orientation distribution …
The generalized Mackenzie distribution: Disorientation angle distributions for arbitrary textures
A general formulation for the disorientation angle distribution function is derived. The
derivation employs the hyperspherical harmonic expansion for orientation distributions, and …
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 …
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 …
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
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 …
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 …
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 …
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 …
reduced material cost and time, rising as a promising technology to fabricate Ti-6Al-4 V, a …