Article
Physics, Multidisciplinary
B. Poudel, C. Lacroix, G. Zwicknagl, S. Burdin
Summary: The study focuses on the Kondo alloy model on a square lattice and investigates how different parameters affect photoemission properties, revealing various features in the paramagnetic Kondo phase, including transitions and crossovers.
NEW JOURNAL OF PHYSICS
(2021)
Article
Materials Science, Multidisciplinary
Martin Sundermann, Andrea Marino, Andrei Gloskovskii, Chongli Yang, Yasuyuki Shimura, Toshiro Takabatake, Andrea Severing
Summary: CeRhSn with Ce atoms forming a quasikagome lattice has been studied in relation to quantum criticality driven by magnetic frustration. Substituting Rh with Pd leads to magnetic order, while the 4 f occupation decreases smoothly with the increase of x in CeRh1-xPdxSn series. Pd 4d states are further away from Ce 4 f states compared to Rh 4d states, resulting in a decrease in the effective binding energy of the 4 f states.
Article
Materials Science, Multidisciplinary
Guniputi Bala Narasimha, S. M. Murigendrappa
Summary: This study investigates the effect of cerium and aluminium on Cu-Al-Be shape memory alloys. Increasing cerium reduces grain size, increases transformation temperatures, and decreases shape recovery ratio, with the alloy containing 0.1wt% cerium exhibiting the highest tensile strength and ductility.
MATERIALS CHARACTERIZATION
(2022)
Article
Chemistry, Multidisciplinary
Elias Ananiadis, Konstantinos T. Argyris, Theodore E. Matikas, Athanasios K. Sfikas, Alexandros E. Karantzalis
Summary: Novel aluminium matrix composites reinforced by MoTaNbVW refractory high-entropy alloy (HEA) particulates were fabricated by powder metallurgy. The composites exhibited low porosity, good homogeneity, few defects, and good distribution of the reinforcing phase in the Al matrix. However, increasing the volume of the reinforcing phase led to increased hardness values, while the Al-HEA composites showed susceptibility to localised forms of corrosion in 3.5% NaCl solution.
APPLIED SCIENCES-BASEL
(2021)
Article
Electrochemistry
A. Kosari, M. Ahmadi, F. Tichelaar, P. Visser, Y. Gonzalez-Garcia, H. Zandbergen, H. Terryn, J. M. C. Mol
Summary: This study investigates the interaction mechanisms of cerium-based compounds with aerospace aluminium alloys, focusing on the role of dealloying of intermetallic particles in controlling the rate of local cerium precipitation. The research reveals a connection between the electrochemical response of the AA2024-T3 system and the morphological and compositional evolutions of individual intermetallic particles at different stages of exposure.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY
(2021)
Review
Physics, Multidisciplinary
Yi-feng Yang, Guang-Ming Zhang
Summary: This paper gives a brief review of the Mott-Kondo scenario and its application in nickelate superconductors. An effective t-J-K model is proposed to explain the low-energy properties, and the effects of doping and pairing symmetry are discussed.
FRONTIERS IN PHYSICS
(2022)
Article
Materials Science, Multidisciplinary
Yuanji Xu, Yutao Sheng, Yi-feng Yang
Summary: By combining density functional theory and dynamical mean-field theory, it is shown that NaYbSe2 undergoes an insulator-to-metal transition under pressure, followed by the emergence of superconductivity. The transition is a two-stage process, with superconductivity appearing in the heavy-fermion phase.
NPJ QUANTUM MATERIALS
(2022)
Article
Chemistry, Multidisciplinary
Zhehong Liu, Shuaikang Zhang, Xiao Wang, Xubin Ye, Shijun Qin, Xudong Shen, Dabiao Lu, Jianhong Dai, Yingying Cao, Kai Chen, Florin Radu, Wen-Bin Wu, Chien-Te Chen, Sonia Francoual, Jose R. L. Mardegan, Olaf Leupold, Liu Hao Tjeng, Zhiwei Hu, Yi-feng Yang, Youwen Long
Summary: This study reports a novel half metal material, LaCu3Fe2Re2O12, which exhibits high Curie temperature, wide spin energy gap, and large magnetization. The material's magnetic properties remain stable at high temperatures, making it suitable for advanced spintronic devices.
ADVANCED MATERIALS
(2022)
Article
Chemistry, Physical
Xu Zheng, Jiao Tan, Qianqian Wang, Chan Gao, Xiaohui Yu, Wenhui Xie, Yifeng Yang, Yujie Wang, Changqing Jin
Summary: In this study, MnN single crystal was synthesized under high pressure and temperature, and a first-order phase transition accompanied by an antiferromagnetic to ferromagnetic magnetic structure transition was observed. The magnetic and structural transition of MnN was found to be induced by the enhanced ferromagnetic double exchange interactions in the [001] plane. These findings provide important insights for the development of GaMnN or MnN layer diluted magnetic semiconductor materials.
JOURNAL OF ALLOYS AND COMPOUNDS
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yang Chen, Xuewen Hou, Yifeng Yang, Qianqian Ge, Yan Zhou, Shengdong Nie
Summary: This study proposes a novel lung nodule detection model with high detection sensitivity and low false-positive rate, which shows potential for clinical application.
JOURNAL OF DIGITAL IMAGING
(2023)
Review
Physics, Condensed Matter
Yi-feng Yang
Summary: Recent advances in experimental techniques have provided new insights into heavy fermion physics. This article summarizes the author's research in this area, specifically focusing on five major topics: development of phase coherence and two-stage hybridization, two-fluid behavior and hidden universal scaling, quantum phase transitions and fractionalized heavy fermion liquid, quantum critical superconductivity, and material-specific properties. These findings go beyond conventional mean-field or local approximation-based theories, leading to an emerging global picture of heavy fermion physics.
JOURNAL OF PHYSICS-CONDENSED MATTER
(2023)
Article
Engineering, Industrial
Xiaoyu Yang, Liyang Xie, Yifeng Yang, Bingfeng Zhao, Yuan Li
Summary: The Weibull distribution is widely used for reliability analysis. This paper presents a simple method called the minimum discrepancy method for parameter estimation of the Weibull distribution using both complete and censored data. The study also compares thirteen methods using several criteria in a small sample size. The results recommend the generalized least square 1, the weighted least square 1, the weighted maximum likelihood estimation, and the minimum discrepancy method for parameter estimation with small samples.
QUALITY ENGINEERING
(2023)
Article
Geriatrics & Gerontology
Zhaoshun Jiang, Yuxi Cai, Songbin Liu, Pei Ye, Yifeng Yang, Guangwu Lin, Shihong Li, Yan Xu, Yangjing Zheng, Zhijun Bao, Shengdong Nie, Weidong Gu
Summary: Using machine-learning algorithms, we identified abnormal functional connectivity patterns in the default mode network (DMN) of patients with delayed neurocognitive recovery (DNR), particularly in regions involved in visual processing, suggesting that these changes could serve as potential biomarkers for predicting DNR.
FRONTIERS IN AGING NEUROSCIENCE
(2023)
Article
Polymer Science
Chengpeng Li, Yanting Shi, Huixin Su, Yifeng Yang, Wen Li, Tong Zhang, Weiyin Chen, Roujun Lin, Yongzheng Li, Lusheng Liao
Summary: Siloxane elastomers were enhanced with multi-strength hydrogen bonds and dynamic disulfide bonds to achieve high stretchability, mechanical strength, self-healing capacity, and recyclability. The ratio of hydrogen bonding networks was adjusted to tune the mechanical properties and self-healing efficiency of the elastomers. The introduction of aromatic disulfide resulted in significantly improved tensile strength, strain, and toughness, with a healing efficiency of 75%. A self-healing flexible bifunctional sensor was also developed using liquid metal alloy encapsulated between the elastomers layers for pressure and motion detection.
EUROPEAN POLYMER JOURNAL
(2023)
Article
Engineering, Civil
Xiaoyu Yang, Liyang Xie, Jiaxin Song, Jianpeng Chen, Bingfeng Zhao, Yifeng Yang
Summary: In this paper, an optimal probability estimator for Weibull parameters is obtained through Monte Carlo simulations, and it is found to exhibit stronger robustness and higher accuracy compared to five commonly used estimators, especially in cases of small sample sizes. The recommended optimal probability estimator is the midpoint rank for LRE, MDE, and EIV in practical applications.
INTERNATIONAL JOURNAL OF STRUCTURAL STABILITY AND DYNAMICS
(2023)
Article
Physics, Multidisciplinary
Dongchen Huang, Junde Liu, Tian Qian, Yi-Feng Yang
Summary: De-noising is crucial in spectrum post-processing. In this study, we propose a de-noising method for angle-resolved photoemission spectroscopy (ARPES) to extract intrinsic spectral information without a training set. Our method utilizes the self-correlation information of the spectra themselves, preserving the intrinsic energy band features for further analysis and processing. It has the potential to be extended to other fields and application scenarios with challenging training data acquisition.
SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY
(2023)
Article
Multidisciplinary Sciences
Haifeng Yang, Jingjing Gao, Yingying Cao, Yuanji Xu, Aiji Liang, Xiang Xu, Yujie Chen, Shuai Liu, Kui Huang, Lixuan Xu, Chengwei Wang, Shengtao Cui, Meixiao Wang, Lexian Yang, Xuan Luo, Yuping Sun, Yi-feng Yang, Zhongkai Liu, Yulin Chen
Summary: Mott physics plays a critical role in materials with strong electronic correlations. The transition from Mott insulator to metal in transition metal oxides is mainly driven by chemical doping, external pressure, temperature, and gate voltage, while in 4f-electron systems, it is mainly driven by Kondo hybridization. However, in YbInCu4, an unusual Mott instability is found to accompany its first-order valence transition, challenging the prevalent Kondo picture. This work provides important insight into the understanding and manipulation of correlated quantum phenomena in the f-electron system.
NATIONAL SCIENCE REVIEW
(2023)
Article
Multidisciplinary Sciences
Hanghui Chen, Yi-feng Yang, Guang-Ming Zhang, Hongquan Liu
Summary: In this study, first-principles calculations are used to demonstrate a charge-transfer-driven charge order mechanism in infinite-layer nickelates, resulting in a characteristic stripe state. The stability of this charge order arises from the competition between Hubbard interaction on Ni-d orbitals and charge transfer energy between Ni-d orbitals and conduction bands.
NATURE COMMUNICATIONS
(2023)
Article
Multidisciplinary Sciences
Jiangfan Wang, Yi-feng Yang
Summary: Understanding the nature of local-itinerant transition of strongly correlated electrons is a central problem in condensed matter physics. A solvable Kondo-Heisenberg model is proposed to investigate this issue, which reveals the continuous evolution of Fermi surfaces and two-fluid behaviors, providing important insight into the microscopic description of two-fluid phenomenology in heavy fermion systems.
Article
Materials Science, Multidisciplinary
Junde Liu, Dongchen Huang, Yi-feng Yang, Tian Qian
Summary: Spectroscopic data often contains unwanted extrinsic signals. A deep learning method is proposed in this study to effectively overcome this problem by utilizing the self-correlation information within the spectra. This method can remove the grid structure and noise while optimizing the quality of the spectra, potentially enhancing spectral measurements in various spectroscopic experiments.