Article
Chemistry, Physical
Iztok Naglic, Blaz Leskovar, Zoran Samardzija, Bostjan Markoli
Summary: This study investigated the influence of gallium addition on the phases formed in Al-Mn alloys during casting, revealing that an increase in gallium content led to the formation of IQCs and DQCs in the alloys. Microanalysis showed that IQCs contained more gallium and less manganese compared to DQCs.
Article
Materials Science, Multidisciplinary
Haitao Zhao, Junheng Gao, Guilin Wu, Honghui Wu, Chaolei Zhang, Yuhe Huang, Shuize Wang, Xinping Mao
Summary: Variant pairing is a critical factor in determining the morphology and boundary characteristics of transformation products. The conventional quantification method based on deviation angles may produce biased results. This research proposes a new quantification method using variant indexing and validates it by comparing experimental results.
METALLURGICAL AND MATERIALS TRANSACTIONS A-PHYSICAL METALLURGY AND MATERIALS SCIENCE
(2023)
Article
Multidisciplinary Sciences
Kevin Kaufmann, Hobson Lane, Xiao Liu, Kenneth S. Vecchio
Summary: Transfer learning can accelerate the training of deep learning models and improve performance with limited data. In this study, a few-shot transfer learning approach is used to classify electron backscatter diffraction pattern images, demonstrating its applicability for real-world phase identification and differentiation.
SCIENTIFIC REPORTS
(2021)
Article
Multidisciplinary Sciences
Nick R. Lutjes, Silang Zhou, Jordi Antoja-Lleonart, Beatriz Noheda, Vaclav Ocelik
Summary: The study analyzes the spherulitic type of 2D crystal growth in thin amorphous Quartz films using electron back-scatter diffraction (EBSD), revealing the characteristics, growth mode, and possible mechanisms of spherulitic Quartz crystal colonies.
SCIENTIFIC REPORTS
(2021)
Article
Materials Science, Multidisciplinary
Yulong Zhu, Yu Cao, Qubo He, Rui Luo, Jieke Zhang, Hongshuang Di, Guangjie Huang, Qing Liu, Jun Xiao
Summary: A novel multiscale dynamic standard for electron backscatter diffraction (EBSD) test has been developed using neural network to investigate the recrystallization behavior of Incoloy 925 superalloy during hot deformation. The method analyzes the average grain size distribution and grain orientation spread (GOS) distribution at different stages of dynamic recrystallization and describes the recrystallized and deformed grains based on grain size, length-diameter ratio, GOS, and GOS maximum value. The neural network achieves excellent recognition accuracy for different deformation states by learning the grain characteristics.
MATERIALS CHARACTERIZATION
(2022)
Article
Materials Science, Multidisciplinary
Chunfei Li, Josiah Dubovi, Clay Klein
Summary: This article presents a method to determine facet orientation using SEM and EBSD, which is validated with facets on spherical particles of 20 μm in an Al60Cu25Fe15 alloy. The experimental results show that the surface of the facet is parallel to the {100} lattice plane of a cubic phase.
MATERIALS CHARACTERIZATION
(2022)
Review
Chemistry, Multidisciplinary
Alan M. Szalai, Cecilia Zaza, Fernando D. Stefani
Summary: The combination of super-resolution fluorescence microscopy and FRET has provided unique tools for studying biological systems and nanomaterials. The integration of these techniques has advanced super-resolution imaging and allowed for visualization of molecular interaction patterns with higher spatial resolution. Future perspectives include possible integration with next generation super-resolution techniques for true molecular-scale spatial resolution.
Article
Optics
Luis E. Villegas-Hernandez, Vishesh Dubey, Mona Nystad, Jean-Claude Tinguely, David A. Coucheron, Firehun T. Dullo, Anish Priyadarshi, Sebastian Acuna, Azeem Ahmad, Jose M. Mateos, Gery Barmettler, Urs Ziegler, Asa Birna Birgisdottir, Aud-Malin Karlsson Hovd, Kristin Andreassen Fenton, Ganesh Acharya, Krishna Agarwal, Balpreet Singh Ahluwalia
Summary: This study introduces a photonic chip as a high-throughput microscopy platform for super-resolution imaging of histological samples. It demonstrates diverse imaging capabilities and paves the way for the adoption of super-resolution high-throughput multimodal analysis of cryopreserved tissue samples.
LIGHT-SCIENCE & APPLICATIONS
(2022)
Article
Materials Science, Multidisciplinary
G. Tolooei Eshlaghi, G. Egels, S. Benito, M. Stricker, S. Weber, A. Hartmaier
Summary: This article presents a robust and comprehensive approach for reconstructing the three-dimensional microstructure of two-phase materials based on electron backscatter diffraction (EBSD) maps from orthogonal surfaces. The method involves processing surface maps using spatial correlation functions combined with principal component analysis (PCA) to generate a representative fingerprint. The approach is demonstrated to accurately describe the microstructure of a metastable austenitic steel and can generate statistically equivalent microstructures.
FRONTIERS IN MATERIALS
(2023)
Article
Physics, Applied
G. Naresh-Kumar, P. R. Edwards, T. Batten, M. Nouf-Allehiani, A. Vilalta-Clemente, A. J. Wilkinson, E. Le Boulbar, P. A. Shields, B. Starosta, B. Hourahine, R. W. Martin, C. Trager-Cowan
Summary: We demonstrate a non-destructive approach to understanding the growth modes of a GaN thin film and quantify its residual strains and their effect on optical and electrical properties. We find strain variations near dislocations, and the dislocations organize themselves into a distinctive pattern.
JOURNAL OF APPLIED PHYSICS
(2022)
Article
Chemistry, Analytical
Jinkyoung Chung, Uidon Jeong, Dokyung Jeong, Seokran Go, Doory Kim
Summary: The development of super-resolution fluorescence microscopy has greatly improved the resolution of light microscopy. In this study, the STORM resolution was improved at a lower laser power, reducing harm to biological samples.
ANALYTICAL CHEMISTRY
(2022)
Article
Geology
Anna K. Bidgood, Andrew J. Parsons, Geoffrey E. Lloyd, Dave J. Waters, Rellie M. Goddard
Summary: Ultra high pressure (UHP) metamorphism in continental terranes involves subduction of continental crust to around 40 kbar before resurfacing, with the process being poorly understood yet widely debated. The felsic composition of UHP terranes makes traditional petrology-based techniques for determining peak pressures and temperatures difficult, leading to the reliance on the detection of coesite as an indicator of UHP conditions. The identification of palisade quartz microstructures formed during the retrograde transformation of coesite to quartz serves as a key criterion in identifying UHP terranes.
JOURNAL OF METAMORPHIC GEOLOGY
(2021)
Article
Materials Science, Multidisciplinary
A. E. Davis, J. Donoghue, J. R. Kennedy, N. Byres, P. B. Prangnell
Summary: In-situ cooling experiments were conducted on Ti64 samples for the first time, revealing the development of alpha colonies. Primary alpha laths play a crucial role in influencing subsequent colony growth and transformation process by nucleating secondary alpha laths through sympathetic autocatalysis.
Article
Materials Science, Multidisciplinary
Chunfeng Du, Yipeng Gao, Yizhen Li, Min Zha, Peng Chen, Yunhe Sheng, Heng-Nan Liang, Hui-Yuan Wang
Summary: Crystalline defects such as dislocations, disclinations, and grain boundaries play a crucial role in determining the mechanical and functional properties of metallic materials. This study proposes a Lie-algebra-based method to quantify the rotational properties of disclinations and introduces a convenient way to determine disclination density distribution from Electron Backscatter Diffraction data. Through quasiin-situ Electron Backscatter Diffraction characterizations, three major formation mechanisms of disclinations have been identified in deformed polycrystalline Mg alloys, which can be treated as topological reactions among various types of defects. This work not only suggests a new mathematical tool to investigate the interactions and reactions among multiple types of crystalline defects but also provides a new insight to understand the deformation behaviors of metals and alloys based on dislocation/disclination theory.
Article
Nanoscience & Nanotechnology
Josh Kacher, Timothy Ruggles, Jordan Key, Matthew Nowell, Stuart Wright
Summary: This study demonstrates the ability to quantitatively characterize the dislocation structures in additive and traditionally manufactured alloys, and discusses potential defect formation mechanisms using high angular resolution electron backscatter diffraction analysis.
SCRIPTA MATERIALIA
(2022)
Article
Engineering, Mechanical
J. Geathers, C. J. Torbet, J. W. Jones, S. Daly
Summary: Water vapor has a significant impact on the small fatigue crack growth rates in Ti-6242S alloy, with a linear dependence observed between crack growth rate and water vapor pressure. This work highlights the importance of humidity in determining fatigue life even at high cyclic frequencies.
INTERNATIONAL JOURNAL OF FATIGUE
(2022)
Article
Materials Science, Multidisciplinary
Andrew T. Polonsky, Narendran Raghavan, McLean P. Echlin, Michael M. Kirka, Ryan R. Dehoff, Tresa M. Pollock
Summary: Three-dimensional characterization is used to understand the processing-structure relationships in additively manufactured materials. In this study, electron beam melting is used to fabricate bulk samples of Inconel 718, and TriBeam tomography and thermal simulation software are used to analyze the microstructural development and predict grain morphologies. The research provides insight into controlling the as-printed microstructure and understanding the competing processes of grain nucleation and epitaxial growth.
MATERIALS CHARACTERIZATION
(2022)
Article
Multidisciplinary Sciences
J. C. Stinville, J. M. Hestroffer, M. A. Charpagne, A. T. Polonsky, M. P. Echlin, C. J. Torbet, V. Valle, K. E. Nygren, M. P. Miller, O. Klaas, A. Loghin, I. J. Beyerlein, T. M. Pollock
Summary: The development of high-fidelity mechanical property prediction models relies on large volumes of microstructural feature data. However, spatially correlated measurements of 3D microstructure and deformation fields have been rare. This study presents a unique multi-modal dataset that combines state-of-the-art experimental techniques for 3D tomography and high-resolution deformation field measurements.
Article
Materials Science, Multidisciplinary
Wyatt A. Witzen, McLean P. Echlin, Marie-Agathe Charpagne, Tresa M. Pollock, Irene J. Beyerlein
Summary: This study investigates the intragranular distributions of geometrically necessary dislocations (GNDs) in a polycrystalline tantalum sample under shock compression loading. Using TriBeam tomography, a highly resolved 3D map of the microstructure was obtained, allowing for the examination of grain boundaries, orientations, and voids. By combining the 3D characterization, GND formulation, and a sample with approximately 6000 grains, correlations between GND density per grain and grain characteristics were analyzed. The results show that GND density increases closer to the spall plane and that grains containing voids have high GND density concentrations in the intragranular region surrounding the void.
Article
Materials Science, Multidisciplinary
N. R. Brodnik, C. Muir, N. Tulshibagwale, J. Rossin, M. P. Echlin, C. M. Hamel, S. L. B. Kramer, T. M. Pollock, J. D. Kiser, C. Smith, S. H. Daly
Summary: Experimental solid mechanics is experiencing a crucial moment where the integration of machine learning (ML) approaches into the discovery process is rapidly increasing. The adoption of ML methods in mechanics originated from non-science and engineering applications, raising concerns about the reliability of the obtained physical results. To address this, it is necessary to incorporate physical principles into ML architectures, evaluate and compare them using benchmark datasets, and test their broad applicability. These principles allow for meaningful categorization, comparison, evaluation, and extension of ML models across various experimental and computational frameworks. Two different use cases, acoustic emission and resonant ultrasound spectroscopy, are examined to demonstrate the application of these principles and discussions are provided regarding the future prospects of trustworthy ML in experimental mechanics.
JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS
(2023)
Article
Materials Science, Ceramics
C. Muir, B. Swaminathan, A. K. Musaffar, N. R. Mccarthy, A. S. Almansour, T. M. Pollock, J. D. Kiser, C. Smith, S. Daly, K. Sevener
Summary: Crack opening displacements (CODs) in ceramic matrix composites (CMCs) affect their environmental degradation rates. This study experimentally demonstrates that a significant proportion of CODs deviate from the commonly assumed s(2) dependence in models. In situ measurements of transverse matrix cracks in SiC/SiC minicomposites reveal that crack geometries and proximity to neighboring cracks contribute to this deviation.
JOURNAL OF THE EUROPEAN CERAMIC SOCIETY
(2023)
Article
Computer Science, Interdisciplinary Applications
S. Shailja, Vikram Bhagavatula, Matthew Cieslak, Jean M. Vettel, Scott T. Grafton, B. S. Manjunath
Summary: This paper proposes a novel method called ReeBundle based on Reeb graphs, which efficiently encodes the topology and geometry of white matter fibers. It also introduces a new distance metric for quality control and bundle comparison. The practical usage of ReeBundle is demonstrated using two datasets, showing its potential in handling morphological issues and clinical fingerprinting of brain regions.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2023)
Article
Engineering, Manufacturing
Devendra K. Jangid, Neal R. Brodnik, Amil Khan, Michael G. Goebel, McLean P. Echlin, Tresa M. Pollock, Samantha H. Daly, B. S. Manjunath
Summary: This paper presents a GAN capable of producing realistic microstructure morphology features and demonstrates its capabilities on a dataset of crystalline titanium grain shapes. It also introduces an approach to train deep learning networks to understand material-specific descriptor features based on existing conceptual relationships.
INTEGRATING MATERIALS AND MANUFACTURING INNOVATION
(2022)