Article
Chemistry, Physical
Xingshuai Zheng, Tengfei Sun, Jixing Zhou, Rupeng Zhang, Pingmei Ming
Summary: This paper presents a new implementation of Voronoi diagram in Laguerre geometry for generating numerical models of polycrystalline microstructures. The method allows control over grain size and shape, and the modeling of 3D grain boundaries with specified thickness. The distribution of grain sizes in the models is fitted to a lognormal distribution instead of the normal distribution in traditional Voronoi tessellation methods. Statistical analyses and simulations are conducted to verify the effectiveness of the proposed method in modeling polycrystalline ceramic materials.
Article
Acoustics
D. R. Sandro Amador, Rune Brincker
Summary: The Frequency Domain Decomposition (FDD) technique, popular in the operational modal analysis community, is used to identify natural frequencies and mode shape vectors of structural systems. In dealing with multi-dataset output-only modal analysis, two new merging approaches have been proposed for scaling different mode shape parts.
JOURNAL OF SOUND AND VIBRATION
(2021)
Article
Chemistry, Multidisciplinary
David Graefe, Marvin Gernhardt, Jiongyu Ren, Eva Blasco, Martin Wegener, Maria Ann Woodruff, Christopher Barner-Kowollik
Summary: This study presents a photoresist that can be entirely degraded by the enzyme chymotrypsin, suitable for biomedical applications. The material can be used to fabricate multi-material microstructures, demonstrating cell biocompatibility and potential as a tissue engineering scaffold that can be easily removed. It shows great promise for basic cell biology research.
ADVANCED FUNCTIONAL MATERIALS
(2021)
Article
Computer Science, Artificial Intelligence
Curtis G. Northcutt, Shengxin Zha, Steven Lovegrove, Richard Newcombe
Summary: Introducing the EgoCom dataset, which consists of multi-modal human communication data captured from egocentric perspectives. It includes synchronized audio, video, word-level transcriptions, and speaker labels, enabling research in conversational AI, natural language processing, audio speech analysis, computer vision, and machine learning.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
(2023)
Article
Multidisciplinary Sciences
Isabelle van der Vegt, Bennett Kleinberg
Summary: This article introduces the Real World Worry Waves Dataset (RW3D), which combines open-ended free-text responses with survey data to study the psychological impact of the COVID-19 pandemic. The dataset includes three years of data from the UK and provides information on variables, demographics, and higher-order psychological and text-derived variables. RW3D is a unique and valuable resource that can inspire new research questions on the psychological impact of the pandemic.
Article
Nanoscience & Nanotechnology
Yanxi Li, Pengfei Gao, Mei Zhan, Xueqi Jiang
Summary: Understanding the heterogeneous deformation and damage at the mesoscale is important for improving the mechanical properties of polycrystalline aggregates. In this study, a damage-coupled crystal plasticity finite element model was developed to investigate the deformation and damage behavior of a tri-modal microstructure in TA15 Ti-alloy. Experimental tests and numerical simulations revealed that the heterogeneous deformation was primarily caused by the alpha phases, leading to four types of damage.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2022)
Article
Materials Science, Multidisciplinary
Nikolai Zolotorevsky, Valery Rybin, Elina Ushanova, Natalia Ermakova, Vladimir Perevezentsev
Summary: The large-scale banding in metallic materials during cold deformation is studied in iron using EBSD, revealing three types of transition zones between differently oriented in-grain domains. The study discusses the underlying heterogeneities of plastic flow leading to the formation of deformation-induced high-angle boundaries in terms of polycrystal micromechanics.
MATERIALS TODAY COMMUNICATIONS
(2022)
Article
Computer Science, Artificial Intelligence
Kaihua Xiao, Xudong Kang, Haibo Liu, Puhong Duan
Summary: This paper constructs a novel dataset for Multi-modal Image Fusion Applications (MOFA), including four modals: visible, near-infrared (NIR), long-wavelength infrared (LWIR), and polarization. The MOFA dataset contains 1062 images of 118 groups, with 450 indoor and 612 outdoor. The dataset is applied to different image fusion applications, including general multi-modal image fusion, fusion-based image super-resolution, and image restoration. Multiple image fusion methods are compared and analyzed on this dataset with a qualitative assessment of subjective and objective metrics. Based on the experiments, the advantages and disadvantages of different methods are discussed, and the challenging problems of image fusion are concluded.
INFORMATION FUSION
(2023)
Article
Engineering, Mechanical
Ming-fei Li, Yan-hua Zhou, Peng-wei Wang, Babafemi Malomo, Liang Yang
Summary: This study investigates the deformation behavior of Zr2Cu metallic glass at ambient and low temperature states by molecular dynamics simulations. The results show that the elastic-plastic properties of the material increase with decreasing temperature, leading to enhanced ductility. The formation of densely-packed structures at low temperatures contributes to the improved mechanical performance.
INTERNATIONAL JOURNAL OF PLASTICITY
(2023)
Article
Materials Science, Multidisciplinary
Lukas Porz, Michael Scherer, Marion Hofling, Atsutomo Nakamura, Wolfgang Rheinheimer, Juergen Roedel
Summary: Dislocation networks have been found to significantly enhance functional properties. However, the mechanical properties of dislocation in polycrystalline ceramics are less understood. In this study, plastic strains exceeding several % were demonstrated based on dislocation motion in polycrystalline SrTiO3 with a grain size of approximately 3.9 μm at around 1100 degrees C. Ultra-high voltage electron microscopy revealed a three-order-of-magnitude increase in dislocation density. Achievable strain rates were comparable to creep-based mechanisms and less sensitive to applied stress compared to metals. The deformability was quantified using stress exponent, activation volume, and activation enthalpy, providing additional understanding of the underlying mechanisms.
JOURNAL OF MATERIALS SCIENCE
(2023)
Article
Materials Science, Multidisciplinary
Junfeng Xiao, Dongxing Zhang, Mingyue Zheng, Yang Bai, Yong Sun, Liwen Zhang, Qiuquan Guo, Jun Yang
Summary: This study proposed a bioinspired 3D printing method for creating high-resolution metallic structures. By mixing dopamine into a 3D printing photopolymer, the method enabled the fabrication of high-resolution metallic structures through electroless plating. The combination of 3D printing advantages in structure design, and surface modification assisted by catechol groups, significantly enhanced the capability of 3D printing and expanded its practical applications in various fields.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2022)
Article
Chemistry, Physical
Ming-fei Li, Da-peng Wang, Babafemi Malomo, Liang Yang
Summary: This study investigated the deformation behavior of annealed metallic glass (MG) through synchrotron radiation-based experiments and molecular dynamics simulations. The results revealed that annealed MGs have higher maximum strength and poor plasticity due to the higher temperatures from the annealing treatment. The deformation behavior is influenced by microstructural parameters, and annealing-induced structural changes significantly affect the overall deformation behavior.
JOURNAL OF ALLOYS AND COMPOUNDS
(2021)
Article
Computer Science, Information Systems
Jie Jiang, Zhimin Li, Jiangfeng Xiong, Rongwei Quan, Qinglin Lu, Wei Liu
Summary: This article introduces the Tencent 'Ads Video Segmentation' (TAVS) dataset, which describes videos from multiple perspectives and contains rich multi-modal information. TAVS achieves comprehensive temporal video segmentation through three levels of multi-label classification, and distinguishes itself from other datasets with its multi-modal information, holistic view, and hierarchical granularities.
Article
Computer Science, Artificial Intelligence
Claudio Ferrari, Stefano Berretti, Pietro Pala, Alberto Del Bimbo
Summary: In this study, a new 3D face dataset named Florence Multi-Resolution 3D Facial Expression (Florence 3DMRE) is introduced, which aims to bridge the gap between high- and low-resolution 3D face datasets. The dataset includes high-resolution models obtained with a high-resolution scanner and paired samples collected with a Kinect sensor. It consists of 14 subjects performing 19 complex and asymmetric expressions.
PATTERN RECOGNITION LETTERS
(2023)
Article
Engineering, Multidisciplinary
Xiaochun Liu, Zheng Liu, Yujing Liu, Zainab Zafar, Yanjin Lu, Xiang Wu, Yue Jiang, Zhiguang Xu, Zhenghua Guo, Shujun Li
Summary: By proposing an anti-bioinspired strategy, a metallic composite with soft bricks (pure Ti) confined by hard mortars (Ti6Al4V alloy) was designed, exhibiting a combination of high strength and high fracture toughness. Utilizing selective laser melting and hot isostatic pressing techniques, a nacre-like structured composite with periodic distribution of soft-brick and hard-mortar domains was successfully fabricated.
COMPOSITES PART B-ENGINEERING
(2022)
Article
Materials Science, Multidisciplinary
Jonathan M. Hestroffer, Marat Latypov, Jean-Charles Stinville, Marie-Agathe Charpagne, Valery Valle, Matthew P. Miller, Tresa M. Pollock, Irene J. Beyerlein
Summary: This study investigates the evolution of intragranular lattice rotations and slip activity in a high performance, polycrystalline face centered cubic material during monotonic and cyclic loading using a combination of in-situ high-resolution digital image correlation (HR-DIC), Heaviside-DIC method (H-DIC), and crystal plasticity finite element (CPFE). The results show that most grains develop intragranular lattice rotation gradients that span the grain, regardless of their size and lattice orientation. The analysis of slip lines reveals agreement in the active slip systems and changes in local slip activity across individual grains. The findings suggest that deforming grains are divided into sub-granular regions of uniform lattice rotation, most often associated with one or two active slip systems.
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
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
Engineering, Mechanical
D. J. Shadle, M. P. Miller, K. E. Nygren
Summary: This study presents a framework for real-time monitoring of the evolution of a deforming polycrystal using principal component analysis (PCA) applied to X-ray diffraction image data. The researchers discovered correlations between PCA of the diffraction data and the physical processes in the polycrystal, which is significant for understanding fatigue failure processes.
INTERNATIONAL JOURNAL OF FATIGUE
(2022)
Article
Multidisciplinary Sciences
J. C. Stinville, M. A. Charpagne, A. Cervellon, S. Hemery, F. Wang, P. G. Callahan, V. Valle, T. M. Pollock
Summary: In this study, the physical origins of fatigue strength in metallic materials were investigated by observing the nanoscale deformation processes of individual materials at the earliest stages of cycling. The quantitative relationships between yield strength and other physical characteristics were identified, and a method for predicting fatigue strength based on slip localization amplitude was proposed.
Article
Engineering, Mechanical
C. Bean, F. Wang, M. A. Charpagne, P. Villechaise, V. Valle, S. R. Agnew, D. S. Gianola, T. M. Pollock, J. C. Stinville
Summary: Additively manufactured 316L stainless steels exhibit higher yield strength due to their unique microstructural features. Investigation of plastic localization at the sub-grain scale reveals significant heterogeneous slip localization in additively manufactured 316L stainless steels compared to conventionally manufactured ones.
INTERNATIONAL JOURNAL OF PLASTICITY
(2022)
Article
Materials Science, Multidisciplinary
John I. Ferguson, Armand J. Beaudoin, Gregory D. Scofield, J. Y. Peter Ko, Kelly E. Nygren, Yujie Wang, Mario Caccia, Kenneth H. Sandhage, Michael D. Sangid
Summary: Residual stress can significantly affect the lifetime and performance of components. Ceramic-metal composites are prone to residual stresses due to thermal expansion mismatch. This study investigates the evolution of residual strains in a WC-Cu composite during thermal cycling using experimental techniques and kinetic modeling. The results show that the material maintains structural stability through stress relaxation.
INTERNATIONAL JOURNAL OF REFRACTORY METALS & HARD MATERIALS
(2023)
Article
Engineering, Multidisciplinary
Elie Gautreau, Xavier Bonnet, Tom Fox, Guillaume Fosseries, Valery Valle, Anthony Herrel, Med Amine Laribi
Summary: This study compared several methods to characterize the kinematics of swimming snakes and found that each method has its advantages and limitations. Marker tracking provides accurate data, motion capture provides limited 3D data, markerless pose estimation is efficient in extracting data under various experimental conditions, and automatic video processing can extract a wide range of useful data.
JOURNAL OF BIONIC ENGINEERING
(2023)
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
Chemistry, Physical
Devendra K. Jangid, Neal R. Brodnik, Michael G. Goebel, Amil Khan, SaiSidharth Majeti, McLean P. Echlin, Samantha H. Daly, Tresa M. Pollock, B. S. Manjunath
Summary: In computer vision, single-image super-resolution (SISR) has been extensively explored on optical images, but its application on images outside this domain, such as scientific experiment images, is not well investigated. This paper presents a broadly adaptable approach for applying state-of-art SISR networks to generate high-resolution EBSD images.
NPJ COMPUTATIONAL MATERIALS
(2022)
Article
Materials Science, Multidisciplinary
R. L. Black, T. Garbowski, C. Bean, A. L. Eberle, S. Nickell, D. Texier, V. Valle, J. C. Stinville
Summary: Recent advancements in high-resolution digital image correlation (HR-DIC) have improved the spatial resolution and measurement sensitivity, allowing for quantitative measurement of deformation events and understanding deformation mechanisms. This study applies a novel SEM acquisition technology to enhance HR-DIC measurements for high throughput applications.
EXPERIMENTAL MECHANICS
(2023)
Article
Optics
Mohamed Yessine Jedidi, Valery Valle
Summary: This study aims to determine the plastic deformation of CP-Ti sheets during metal forming processes at room temperature, using experimental tests and digital image correlation (DIC) and Heaviside-DIC (H-DIC) techniques. The forming limit diagrams (FLDs) of CP-Ti sheets in different strain paths are determined, and the localized deformation of the sheets' materials and its impact on ductility during forming processes are investigated.
OPTICS AND LASERS IN ENGINEERING
(2023)
Article
Materials Science, Multidisciplinary
D. J. Shadle, K. E. Nygren, J. C. Stinville, M. A. Charpagne, T. J. H. Long, M. P. Echlin, C. J. Budrowf, A. T. Polonsky, T. M. Pollock, I. J. Beyerlein, M. P. Miller
Summary: Multi-modal approaches are essential for studying complex materials phenomena, as each characterization technique provides a unique perspective. Sometimes, direct interpretations between techniques are not feasible, and indirect interpretations or signatures are needed for a comprehensive understanding. In this study, signature discovery and electron and synchrotron X-ray characterization techniques were combined to identify regions of intense slip localization in an Inconel-718 alloy undergoing mechanical deformation, revealing intergranular stress states within a grain neighborhood.
MATERIALS CHARACTERIZATION
(2023)