Article
Nanoscience & Nanotechnology
Sailong Zhang, Bo Shi, Jinhui Wang, Yuanli Xu, Peipeng Jin
Summary: Rejuvenation of a naturally aged Zr64.13Cu15.75Ni10.12Al10 bulk metallic glass (BMG) can be achieved by laterally elastostatic pre-loading. The serration flow of the rejuvenated BMG shows a bimodal fashion, with smaller and larger serrations appearing alternately, indicating a more heterogeneous structure induced by elastostatic effects. Both coarse and fine shear bands, with strong interactions among themselves, coexist in the rejuvenated BMG.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2021)
Article
Nanoscience & Nanotechnology
Bosong Li, Keita Nomoto, Shenghui Xie, Simon P. Ringer, Bernd Gludovatz, Jamie J. Kruzic
Summary: The study investigated the effects of elastostatic compression (ESC) on the structural state and mechanical properties of bulk metallic glasses (BMGs). The results showed that ESC can induce either relaxation or rejuvenation depending on the initial energy state of the samples. Materials in the highest and lowest energy states were stable against structural changes, while those in intermediate energy states exhibited both relaxation and rejuvenation after ESC loading. These findings provide new insights into the behavior of BMGs under ESC.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2022)
Article
Metallurgy & Metallurgical Engineering
Israa Meften Hashim, Israa Faisal Ghazi, Oleg R. Kuzichkin, Indira A. Shakirova, A. Surendar, Lakshmi Thangavelu, Aleksei Evgenievich Dorofeev, Yu Zhu
Summary: This study investigates the effects of primary stored energy in high entropy bulk metallic glasses on their relaxation behavior after elastostatic loading process. Increasing element types in the alloy composition leads to higher stored energy and structural heterogeneity. Elastostatic loading rejuvenates the primary alloys, but an optimum heterogeneity is necessary for maximum structural heterogeneity and stored energy.
TRANSACTIONS OF THE INDIAN INSTITUTE OF METALS
(2021)
Article
Chemistry, Physical
Z. Liu, P. Huang, F. Wang
Summary: This study found opposite changing trends of activation energies for beta relaxation and STZ in La60Ni25Al15 metallic glass before and after cryogenic thermal cycling treatment. Specifically, larger STZ requires higher W-STZ, while lower E-beta is needed to activate atoms involved in string-like motions. These results will deepen our understanding of the correlation between relaxation and deformation carriers in La-based metallic glasses.
JOURNAL OF ALLOYS AND COMPOUNDS
(2021)
Article
Materials Science, Multidisciplinary
Devashish Rajpoot, R. Lakshmi Narayan, Long Zhang, Punit Kumar, Haifeng Zhang, Parag Tandaiya, Upadrasta Ramamurty
Summary: This study investigates the embrittlement of a beta-Ti dendrite reinforced Zr-based bulk metallic glass composite (BMGC) when cast in a large size, and examines the effectiveness of cryothermal cycling (CTC) treatment in restoring the mode I fracture toughness. The plasticity of CTC treated BMGC is estimated through nanoindentation tests and differential scanning calorimetry (DSC), and validated through compression tests. The study reveals that both as-cast embrittled BMGC and CTC treated BMGC exhibit brittleness, with 5 times lower notch toughness compared to their tougher counterpart. The absence of notch-tip plasticity in the CTC treated BMGC, despite indications of plasticity in nanoindentation and higher enthalpy of relaxation (Delta H-rel), is explained through reassessing the origin of pop-ins in nanoindentation tests and variations in chemical and topological short range ordering during CTC. The implications of these results for improving the fracture toughness of structurally relaxed BMGCs using CTC are discussed.
JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY
(2022)
Article
Chemistry, Physical
Lingling Wang, Zheng Wang, Lina Hu
Summary: This study systematically investigates how the initial state of metallic glasses (MGs) affects the rejuvenation effect and presents a transition from rejuvenation to relaxation upon increasing fictive temperature (Tf). The critical energy state at which the transition occurs is determined and attributed to the intervention of local structures smaller than the ones involved in slow beta-relaxations. Furthermore, the study discovers that MGs with a low Tf can recover to high temperature supercooled liquids through cryogenic thermal cycling, which is related to the memory effect of MGs upon cooling process.
Article
Materials Science, Ceramics
X. D. Wang, S. L. Song, Z. W. Zhu, H. F. Zhang, X. C. Ren
Summary: Multiple characterization techniques were used to investigate the structural evolution of metallic glass under elastic cyclic loading. The results showed that cyclic loading led to increased relaxation enthalpy, larger interatomic distance, and smaller coordination number. The micmhardness of the specimens also decreased. The free volume theory clarified the key problem of shear band formation under cyclic stress level lower than yield strength.
JOURNAL OF NON-CRYSTALLINE SOLIDS
(2022)
Article
Chemistry, Physical
S. Y. Liang, L. T. Zhang, B. Wang, Y. J. Wang, E. Pineda, J. C. Qiao
Summary: This study focuses on the influence of the thermomechanical protocol on the aging or rejuvenation of glass by decoupling the thermal and mechanical processes. The results show that Labased metallic glass exhibits material hypomnesia, with a clearer rejuvenation trend observed after imposing increasing amplitude strain oscillations. There is a threshold value of the oscillation amplitude that separates the effects of the protocol into acceleration of aging or rejuvenation. This study reveals the correlation between the thermomechanical properties of metallic glass and the previous application of strain oscillations of various amplitudes, providing an effective tool for regulating the structural state of metallic glasses through a simple-operated method.
Article
Materials Science, Multidisciplinary
Siyi Di, Qianqian Wang, Yiyuan Yang, Tao Liang, Jing Zhou, Lin Su, Kuibo Yin, Qiaoshi Zeng, Litao Sun, Baolong Shen
Summary: The study showed that Cu addition in bulk metallic glass leads to better plasticity and yield strength after cryogenic thermal cycling treatment, while maintaining excellent soft magnetic properties, promoting structural heterogeneities formation and shear band initiation.
JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY
(2022)
Article
Materials Science, Multidisciplinary
X. X. Li, J. G. Wang, H. B. Ke, C. Yang, W. H. Wang
Summary: Mechanical milling can continuously rejuvenate metallic glass powders, resulting in a highly rejuvenated state with stable nanoglass-like structure and unique properties.
MATERIALS TODAY PHYSICS
(2022)
Article
Engineering, Multidisciplinary
LangTing Zhang, YaJuan Duan, YunJiang Wang, Yong Yang, JiChao Qiao
Summary: In this paper, it is demonstrated that cooling a BMG from the supercooled liquid region at laboratory rates can reverse the relaxation enthalpy lost during the preceding structural relaxation. Increasing the cooling rate enhances atomic mobility and dynamic mechanical relaxation intensity. This rejuvenation methodology facilitates tailoring the mechanical properties of BMGs and provides a comprehensive understanding of the rejuvenation mechanism.
SCIENCE CHINA-TECHNOLOGICAL SCIENCES
(2023)
Article
Chemistry, Physical
Haimin Zhai, Shuai Cui, Sheng Li, Dongqing He, Bo Cheng, Xinjian Zhang, Wensheng Li, Zhornik Viktor, Uladzimir Seniuts
Summary: Laser shock peening (LSP) treatment significantly affects the phase structure and properties of titanium-based BMG materials, promoting rejuvenation and introducing heterogeneity. This leads to improved plasticity and resistance to crack propagation. LSP-1 specimen exhibits higher hardness and plasticity, reducing fatigue peeling wear caused by brittleness. However, excessive LSP results in increased susceptibility to pitting and significantly reduces tribocorrosion resistance.
Article
Materials Science, Ceramics
Ming Liu, Dongyang Hou, Chenghui Gao
Summary: Berkovich nanoindentation experiments were conducted on Zr55Cu30Al10Ni5 bulk metallic glass, revealing the relationships between indentation variables and properties such as hardness and elastic modulus. A new methodology for determining fracture toughness based on total work of indentation was proposed.
JOURNAL OF NON-CRYSTALLINE SOLIDS
(2021)
Article
Materials Science, Multidisciplinary
L. T. Zhang, Yun-Jiang Wang, Y. Yang, J. C. Qiao
Summary: In this study, the rejuvenation of metallic glasses through the training of the beta relaxation process is demonstrated. The transition from structural relaxation to rejuvenation is observed with increasing training frequency. Surprisingly, rejuvenation can be achieved at a relatively small cyclic strain of 0.2%. Rejuvenation increases relaxation enthalpy and promotes decoupling of the beta relaxation process and relaxation process. A cluster of beta relaxation time curves is formulated to describe energetic states between ultrastable and ultimately rejuvenated metallic glasses. Additionally, rejuvenation expands the distribution of the beta relaxation process, anelastic, and viscoplastic components during deformation.
JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY
(2023)
Article
Materials Science, Multidisciplinary
Yan Li, Xingwang Cheng, Zhaolong Ma, Xuhai Li, Meng Wang
Summary: The Zr-based bulk metallic glass exhibited different damage evolution characteristics under different impact pressures, transitioning from spallation to fragmentation. The fragments of the specimen were welded after impact due to high temperature remelting, causing plastic deformation.
JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY
(2021)
Article
Polymer Science
Zejun Wang, Jiarui Ren, Lizhong Qian, Yufeng He, Pengfei Song, Rongmin Wang
Summary: FK-SA-Gbs prepared from feather keratin and sodium alginate showed significant pH sensitivity and sustained release, making them suitable for wound dressings.
Article
Green & Sustainable Science & Technology
Jinlong Wang, Ling Yang, Min Deng, Gui Zhang, Yaoqi Zhang
Summary: This study uses a spatial network methodology based on scenario simulation to investigate the sustainable development of the ecological-economic-social compound system in a specific region of Southern China, focusing on adaptability and effectivity. The results indicate that Scenario 3, which considers both adaptability and effectivity, is the superior control scheme and provides theoretical guidance for optimizing the spatial pattern of the compound system in the region.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Computer Science, Hardware & Architecture
Zhang Long, Wang Jinsong
Summary: Network traffic classification is crucial for various network activities, and machine learning methods are increasingly used due to the rise of encryption. However, the application of machine learning methods for network traffic classification using sampled NetFlow data is underdeveloped. This study proposes a network traffic classification module that combines NetFlow data with a deep neural network, and demonstrates its superior performance compared to other classifiers using real-world datasets.
Article
Environmental Sciences
Lingsheng Wang, Weizhang Fu, Shujuan Sun, Huaihao Liu, Jinhua Wang, Wanzhen Zhong, Bin Ma
Summary: Due to rapid industrial and agricultural development, nitrate pollution in groundwater is increasing. In this study, a composite photocatalyst SiW11/TiO2/Cu was prepared using heteropoly silicotungstate K-8[alpha-SiW11O39] and Cu2+ as active components. The photocatalytic reduction of dissolved NO3-N using SiW11/TiO2/Cu showed significant advantages in terms of its photocatalytic activity. The mechanism of NO3-N reduction and the detection of free radicals were also investigated.
ENVIRONMENTAL TECHNOLOGY
(2023)
Article
Engineering, Marine
Jinlong Wang
Summary: This study proposes and develops a novel soft hang-off system to solve the low-efficiency and time limitation issues in retrieving risers during deepwater drilling operations. Sea trials are conducted to evaluate the load compensation effect of the system, and it is found to have high application value in deepwater drilling engineering.
SHIPS AND OFFSHORE STRUCTURES
(2023)
Article
Materials Science, Composites
Jinhuo Wang, Yang Han, Xiaohong Ge, Zhengbing Qi, Jun Zhao, Rongwen Wang, Huawei Wu, Taiping Han, Shaoxun Sun, Hui Wang, Jia Lin, Yuejun Liu, Xiangsong Kong, Qiming Chen, Xiangxu Zeng
Summary: The optimization design of composite structures requires an accurate predictive model for forming behavior, considering the viscosity and micro-mechanisms of the composite materials, as well as the non-Newtonian effects, viscoelastic effects, and fiber rearrangement during fiber movement and shearing.
APPLIED COMPOSITE MATERIALS
(2023)
Article
Computer Science, Information Systems
Dongsheng Han, Tao Liu, Feiyun Wu, Zhenyu Zhou, Yong Wei
Summary: This article presents a multi-BS heterogeneous network system model equipped with renewable energy production devices. A hybrid optimization algorithm is proposed to maximize the sum of SINR of users in the system through user scheduling and beam forming. Simulation results show that the proposed algorithm effectively increases system users' sum-SINR while ensuring system stability.
IEEE SYSTEMS JOURNAL
(2023)
Article
Environmental Sciences
Xiaojing Yan, Wenwen Liu, Shengfang Wen, Lanjun Wang, Lusheng Zhu, Jun Wang, Young Mo Kim, Jinhua Wang
Summary: Antibiotic resistance genes (ARGs) are a new type of environmental pollutant that pose a significant global health challenge. Horizontal gene transfer (HGT) is an important route for ARGs spread. The use of sulfamethazine (SM2) as a broad-spectrum bacteriostatic agent leads to high residual levels in the environment, increasing the spread of ARGs. This study found that SM2 at concentrations of 10 mg/L and 200 mg/L promoted the HGT of ARGs, but transfer frequency decreased at concentrations of 100 mg/L and 500 mg/L. The mechanism of SM2 improving conjugation transfer is through enhancement of conjugation gene and oxidative stress gene expression, inhibition of vertical transfer gene expression, up regulation of outer membrane protein gene expression, promotion of cell pore formation, and improvement of cell membrane permeability.
JOURNAL OF ENVIRONMENTAL SCIENCES
(2023)
Article
Automation & Control Systems
Feiping Nie, Xiaowei Zhao, Rong Wang, Xuelong Li
Summary: This article proposes a novel discriminant analysis model named FALDA, which improves the efficiency and robustness of LDA by utilizing an anchor-based strategy and introducing maximum entropy regularization. It also considers the interference of noise and redundant features and can explicitly divide data with complex distribution.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Engineering, Electrical & Electronic
Rong Wang, Zongheng Tang, Qianli Zhou, Xiaoqian Liu, Tianrui Hui, Quange Tan, Si Liu
Summary: Natural language tracking is a task that localizes the target object in video frames using a language description. This paper proposes a unified transformer method called TransNLT, which utilizes isomorphic transformer structures for feature extraction and incorporates cross-modal information through a selective feature gathering module. The method outperforms previous state-of-the-art methods on three popular natural language tracking benchmarks.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
(2023)
Article
Engineering, Civil
Chao Pan, Zhao Wang, Haijun Liao, Zhenyu Zhou, Xiaoyan Wang, Muhammad Tariq, Sattam Al-Otaibi
Summary: This paper presents an ASTEROID algorithm that utilizes asynchronous federated DQN and URLLC awareness to achieve task offloading and computation resource allocation in vehicular networks, aiming to satisfy URLLC constraints and maximize throughput. Simulation results demonstrate the superior performances of ASTEROID.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Feiping Nie, Canyu Zhang, Zheng Wang, Rong Wang, Xuelong Li
Summary: This article proposes a local embedding learning method using landmark-based dynamic connections to address the dimensionality reduction problem in non-Gaussian data. The method leverages landmarks to represent different subclusters and establishes connections to handle the local structure of the data. Experiments have demonstrated the advantages of this method.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Feiping Nie, Xia Dong, Zhanxuan Hu, Rong Wang, Xuelong Li
Summary: This work proposes a parameter-free clustering model called discriminative projected clustering (DPC) for low-dimensional and discriminative projection learning and clustering. The connection between DPC and linear discriminant analysis (LDA) is theoretically analyzed, and experiments demonstrate the effectiveness and efficiency of DPC in real-world applications.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Feiping Nie, Sisi Wang, Zheng Wang, Rong Wang, Xuelong Li
Summary: Principal component analysis (PCA) is unable to overcome the influence of outliers. Existing robust PCA methods have limitations and a new discrete robust PCA algorithm is proposed to eliminate the influence of outliers completely and improve anomaly detection capability.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Chemistry, Physical
Qianqian Fu, Hui Wang, Kunlun Nie, Xuyun Wang, Jianwei Ren, Rongfang Wang
Summary: In this study, P, S co-doped NiCoPxSy nanowire array catalysts were synthesized on a nickel foam substrate using a stepped preparation strategy. The prepared catalysts exhibited excellent electrocatalytic performance, enabling simultaneous hydrogen evolution reaction (HER) and oxygen evolution reaction (OER) on both the anode and cathode. This research provides an effective method for designing innovative catalysts and producing clean energy.
JOURNAL OF COLLOID AND INTERFACE SCIENCE
(2024)
Article
Nanoscience & Nanotechnology
Jie Zhang, Xiaoyang Chen, MingJian Ding, Jiaqiang Chen, Ping Yu
Summary: This study enhances the compositional inhomogeneity of relaxor ferroelectric thin films to improve their dielectric temperature stability. The prepared films exhibit a relatively high dielectric constant and a very low variation ratio of dielectric constant over a wide temperature range.
SCRIPTA MATERIALIA
(2024)
Article
Nanoscience & Nanotechnology
Xiaoyu Chen, Ranran Zhang, Hao Zou, Ling Li, Qiancheng Zhu, Wenming Zhang
Summary: Polyaniline-manganese dioxide composites exhibit high conductivity, long discharge platform, and stable circulation, and the specific capacity is increased by providing additional H+ ions to participate in the reaction.
SCRIPTA MATERIALIA
(2024)
Article
Nanoscience & Nanotechnology
Xutao Huang, Yinping Chen, Jianjun Wang, Gang Lu, Wenxin Wang, Zan Yao, Sixin Zhao, Yujie Liu, Qian Li
Summary: This study aims to establish a novel approach to better understand and predict the behavior of materials with multi-scale lamellar microstructures. High-resolution reconstruction and collaborative characterization methods are used to accurately represent the microstructure. The mechanical properties of pearlite are investigated using crystal plasticity simulation and in-situ scanning electron microscopy tensile testing. The results validate the reliability of the novel strategy.
SCRIPTA MATERIALIA
(2024)
Article
Nanoscience & Nanotechnology
Cheng Chen, Fanchao Meng, Jun Song
Summary: This study systematically investigated the unfaulting mechanism of single-layer interstitial dislocation loops in irradiated L12-Ni3Al. The unfaulting routes of the loops were uncovered and the symmetry breaking during the unfaulting processes was further elucidated. A continuum model was formulated to analyze the energetics of the loops and predict the unfaulting threshold.
SCRIPTA MATERIALIA
(2024)
Article
Nanoscience & Nanotechnology
Darshan Bamney, Laurent Capolungo
Summary: This work investigates the formation of adjoining twin pairs (ATPs) at grain boundaries (GBs) in hexagonal close-packed (hcp) metals, focusing on the co-nucleation (CN) of pairs of deformation twins. A continuum defect mechanics model is proposed to study the energetic feasibility of CN of ATPs resulting from GB dislocation dissociation. The model reveals that CN is preferred over the nucleation of a single twin variant for low misorientation angle GBs. Further analysis considering GB character and twin system alignment suggests that CN events could be responsible for ATP formation even at low m' values.
SCRIPTA MATERIALIA
(2024)
Article
Nanoscience & Nanotechnology
Bing Han, Zhengqian Fu, Guoxiang Zhao, Xuefeng Chen, Genshui Wang, Fangfang Xu
Summary: This study investigates the behavior of electric-field induced antiferroelectric to ferroelectric (AFE-FE) phase transition and reveals the evolution of atomic displacement ordering as the cause for the transition behavior changing from sharp to diffuse. The novel semi-ordered configuration results from the competing interaction between long-range displacement modulation and compositional inhomogeneity, which leads to a diffuse AFE-FE transition while maintaining the switching field.
SCRIPTA MATERIALIA
(2024)
Article
Nanoscience & Nanotechnology
Akib Jabed, Golden Kumar
Summary: This study demonstrates that cryogenic rejuvenation promotes homogeneous-like flow and increases ductility in metallic glass samples. Conversely, annealing has the opposite effect, resulting in a smoother fracture surface.
SCRIPTA MATERIALIA
(2024)
Article
Nanoscience & Nanotechnology
Xin Ji, Yan Chong, Satoshi Emura, Koichi Tsuchiya
Summary: A heterogeneous microstructure in Ti-15Mo-3Al alloy with heterogeneous distributions of Mo element and omega(iso) precipitates has achieved a four-fold increase in tensile ductility without a loss of tensile strength, by blocking the propagation of dislocation channels and preventing the formation of micro-cracks.
SCRIPTA MATERIALIA
(2024)
Article
Nanoscience & Nanotechnology
Amit Samanta, Prasanna Balaprakash, Sylvie Aubry, Brian K. Lin
Summary: This study proposes a combined large-scale first principles approach with machine learning and materials informatics to quickly explore the chemistry-composition space of advanced high strength steels (AHSS). The distribution of aluminum and manganese atoms in iron is systematically explored using first principles calculations to investigate low stacking fault energy configurations. The use of an automated machine learning tool, DeepHyper, speeds up the computational process. The study provides insights into the distribution of aluminum and manganese atoms in systems containing stacking faults and their effects on the equilibrium distribution.
SCRIPTA MATERIALIA
(2024)
Article
Nanoscience & Nanotechnology
Guowei Zhou, Yuanzhe Hu, Zizheng Cao, Myoung Gyu Lee, Dayong Li
Summary: In this work, a physics-constrained neural network is used to predict grain-level responses in FCC material by incorporating crystal plasticity theory. The key feature, shear strain rate of slip system, is identified based on crystal plasticity and incorporated into the loss function as physical constitutive equations. The introduction of physics constraints accelerates the convergence of the neural network model and improves prediction accuracy, especially for small-scale datasets. Transfer learning is performed to capture complex in-plane deformation of crystals with any initial orientations, including cyclic loading and arbitrary non-monotonic loading.
SCRIPTA MATERIALIA
(2024)
Article
Nanoscience & Nanotechnology
Pengfei Yang, Qichang Li, Zhongying Wang, Yuxiao Gao, Wei Jin, Weiping Xiao, Lei Wang, Fusheng Liu, Zexing Wu
Summary: In this study, the HER performance of Ru-based catalysts is significantly improved through the dual-doping strategy. The obtained catalyst exhibits excellent performance in alkaline freshwater and alkaline seawater, and can be stably operated in a self-assembled overall water splitting electrolyzer.
SCRIPTA MATERIALIA
(2024)
Article
Nanoscience & Nanotechnology
Ilias Bikmukhametov, Garritt J. Tucker, Gregory B. Thompson
Summary: Depositing a Ni-1at. % P film can facilitate the formation of multiple quintuple twin junctions, resulting in a five-fold twin structure and a pentagonal pyramid surface topology. The ability to control material structures offers opportunities for creating novel surface topologies, which can be used as arrays of field emitters or textured surfaces.
SCRIPTA MATERIALIA
(2024)
Article
Nanoscience & Nanotechnology
Zening Yang, Weiwei Sun, Zhengyu Sun, Mutian Zhang, Jin Yu, Yubin Wen
Summary: Multicomponent oxides (MCOs) have wide applications and accurately predicting their thermal expansion remains challenging. This study introduces an innovative attention-based deep learning model, which achieves improved performance by using two self-attention modules and demonstrates adaptability and interpretability.
SCRIPTA MATERIALIA
(2024)
Article
Nanoscience & Nanotechnology
Ze Liu, Cai Chen, Yuanxun Zhou, Lanting Zhang, Hong Wang
Summary: This study attempts to address the gap in cooling rates between thin film deposition and bulk metallic glass (BMG) casting by correlating the glass-forming range (GFR) determined from combinatorial materials chips (CMCs) with the glass-forming ability (GFA) of BMG. The results show that the full-width at half maximum (FWHM) of the first sharp diffraction peak (FSDP) is a good indicator of BMG GFA, and strong positive correlations between FWHM and the critical casting diameter (Dmax) are observed in various BMG systems. Furthermore, the Pearson correlation coefficients suggest possible similarities in the GFA natures of certain BMG pairs.
SCRIPTA MATERIALIA
(2024)
Article
Nanoscience & Nanotechnology
Mike Schneider, Jean-Philippe Couzinie, Amin Shalabi, Farhad Ibrahimkhel, Alberto Ferrari, Fritz Koermann, Guillaume Laplanche
Summary: This work aims to predict the microstructure of recrystallized medium and high-entropy alloys, particularly the density and thickness of annealing twins. Through experiments and simulations, a database is provided for twin boundary engineering in alloy development. The results also support existing theories and empirical relationships.
SCRIPTA MATERIALIA
(2024)