4.6 Article

Hydrostatic compression and high-pressure elastic constants of coesite silica

期刊

JOURNAL OF APPLIED PHYSICS
卷 103, 期 5, 页码 -

出版社

AMER INST PHYSICS
DOI: 10.1063/1.2888558

关键词

-

向作者/读者索取更多资源

Using density-functional theory, we computed all the independent elastic constants of coesite, a high-pressure polymorph of silica, as functions of pressure up to 15 GPa. The results are in good agreement with experimental measurements under ambient conditions. Also, the predicted pressure-dependent elastic properties are consistent with x-ray data in the literature concerning lattice strains at high pressures. We find that coesite, like quartz, exhibits a gradual softening of a shear modulus B(44) with increasing pressure, in contrast to the rising bulk modulus. (c) 2008 American Institute of Physics.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Materials Science, Multidisciplinary

Accurate description of hydrogen diffusivity in bcc metals using machine-learning moment tensor potentials and path-integral methods

Hyukjoon Kwon, Motoyuki Shiga, Hajime Kimizuka, Takuji Oda

Summary: The diffusion of hydrogen in metals is difficult to accurately measure due to surface and trapping effects, resulting in large deviations in reported experimental data. Computational studies have proposed atomistic simulation methods, but their accuracy remains questionable. This study used machine-learning moment tensor potentials with the accuracy of density functional theory to estimate the diffusivity of hydrogen in three bcc metals. The calculations showed excellent agreement with experimental data in the appropriate temperature range.

ACTA MATERIALIA (2023)

Review Chemistry, Multidisciplinary

Oxide Cathodes: Functions, Instabilities, Self Healing, and Degradation Mitigations

Yanhao Dong, Ju Li

Summary: Recent progress has been made in high-energy-density oxide cathodes for lithium-ion batteries, but cycling under extreme conditions can lead to various forms of degradation that shorten battery life and cause safety issues. Understanding the underlying mechanisms of these degradations is critical for developing mitigation strategies. This systematic overview provides insights into the functions, instabilities, and materials behaviors of oxide cathodes, including unusual anion and cation mobilities and extensive lattice reconstructions. These insights are important for understanding self-healing phenomena and for designing and mitigating degradation in cathodes for high-performance energy storage.

CHEMICAL REVIEWS (2023)

Article Chemistry, Physical

Quantitative tests revealing hydrogen-enhanced dislocation motion in α-iron

Longchao Huang, Dengke Chen, Degang Xie, Suzhi Li, Yin Zhang, Ting Zhu, Dierk Raabe, En Ma, Ju Li, Zhiwei Shan

Summary: Hydrogen embrittlement is a concern for using high-strength steels in load-bearing applications. Through the study of individual screw dislocations in alpha-iron, it has been found that hydrogen enhances the motion of screw dislocations, with the critical stress for initiating dislocation motion being lower in a hydrogen atmosphere compared to a vacuum environment. Moreover, cyclic loading and unloading helps to remove trapped hydrogen, allowing the dislocation to regain its original behavior.

NATURE MATERIALS (2023)

Article Physics, Multidisciplinary

Laser Cooling of Nuclear Magnons

Haowei Xu, Guoqing Wang, Changhao Li, Hua Wang, Hao Tang, Ariel Rebekah Barr, Paola Cappellaro, Ju Li

Summary: The initialization of nuclear spin to its ground state is challenging due to its small energy scale compared with thermal energy, even at cryogenic temperature. In this Letter, an optonuclear quadrupolar effect is proposed, where two-color optical photons can efficiently interact with nuclear spins. Leveraging such an optical interface, nuclear magnons, the collective excitations of nuclear spin ensemble, can be cooled down optically, which could facilitate the application of nuclear spins in quantum information science.

PHYSICAL REVIEW LETTERS (2023)

Article Physics, Multidisciplinary

Communication-Efficient Quantum Algorithm for Distributed Machine Learning

Hao Tang, Boning Li, Guoqing Wang, Haowei Xu, Changhao Li, Ariel Barr, Paola Cappellaro, Ju Li

Summary: This work presents a communication-efficient quantum algorithm for solving the least-square fitting and softmax regression problems in distributed machine learning. Our algorithm achieves a communication complexity of O(log2(N)/e), providing a communication advantage compared to classical and other quantum methods. The quantum bipartite correlator algorithm used in this work can be further applied to other information processing tasks.

PHYSICAL REVIEW LETTERS (2023)

Article Materials Science, Multidisciplinary

NdB6 ceramic nanoparticles: First principles calculations, mechanochemical synthesis and strain engineering

Burcak Boztemur, Mubashir Mansoor, Faruk Kaya, Mantao Huang, Emre Tekoglu, M. Lutfi Ovecoglu, Ju Li, Duygu Agaogullari

Summary: By strain engineering, NdB6 can be made highly ductile, contrary to the belief that borides are always brittle. This study investigates the structural and mechanical properties of NdB6 and successfully synthesizes superplastic nanostructured NdB6 ceramic powders.

JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T (2023)

Article Energy & Fuels

Eutectic salt-assisted planetary centrifugal deagglomeration for single-crystalline cathode synthesis

Moonsu Yoon, Yanhao Dong, Yimeng Huang, Baoming Wang, Junghwa Kim, Jin-Sung Park, Jaeseong Hwang, Jaehyun Park, Seok Ju Kang, Jaephil Cho, Ju Li

Summary: The researchers propose a new mechanochemical activation process that allows the synthesis of coarse single-crystal cathodes with high phase purity, good electrochemical performance, and scalability. This process is based on interfacial reactive wetting mediated by transient eutectic salts, which deagglomerates the precursors and enables particle coarsening into a single-crystalline morphology. The novel technique offers a facile and scalable solution for the production of high-quality single-crystalline cathode materials.

NATURE ENERGY (2023)

Article Materials Science, Multidisciplinary

Asymmetry in core structure and mobility of basal dislocations in a Ti3SiC2 MAX phase: An atomistic study with machine-learned force fields

Rana Hossain, Hajime Kimizuka, Shigenobu Ogata

Summary: MAX phases are a unique class of atomically layered ceramics that deform plastically at room temperature due to highly mobile basal dislocations (BDs). In this study, a machine-learning-based spectral neighbor analysis potential (SNAP) was developed to simulate the edge, screw, and mixed BDs in a Ti3SiC2 MAX phase. The SNAP calculations reveal that the BD core structure exhibits significant asymmetry depending on the position of the weakly bonded Si layer. Undissociated BD cores are centered on Si layers and have lower mobility compared to partial BDs. The findings contribute to a deeper understanding of the atomic-level behavior of BDs and the deformation modes of crystals with layered structures.

PHYSICAL REVIEW MATERIALS (2023)

Article Engineering, Manufacturing

Strengthening additively manufactured Inconel 718 through in-situ formation of nanocarbides and silicides

Emre Tekoglu, Alexander D. O'Brien, Jian Liu, Baoming Wang, Sina Kavak, Yong Zhang, So Yeon Kim, Shitong Wang, Duygu Agaogullari, Wen Chen, A. John Hart, Ju Li

Summary: In this study, a nickel superalloy metallic matrix composite (Ni-MMC) was additively manufactured using laser powder bed fusion (LPBF). SiC nanowires (2 vol%) were decorated on the surface of Inconel 718 alloy particles, resulting in the in-situ formation of Nb- and Ti-based silicide and carbide nanoparticles during laser melting. The in-situ formed nanoparticles improved the solidification microstructure and mechanical properties of the AM Inconel 718. Heat treatment further enhanced the strength of the composite samples while maintaining good ductility.

ADDITIVE MANUFACTURING (2023)

Article Chemistry, Multidisciplinary

Oxygen redox and instability in energy ceramics

Yanhao Dong, Ju Li

Summary: Energy ceramics play important roles in high-temperature fuel/electrolysis cells and oxide batteries, but their stability is challenged by harsh chemical and electrochemical conditions. Understanding degradation mechanisms and developing innovative strategies for degradation mitigation are crucial for practical applications. This study analyzes and provides perspectives on degradation phenomena in different electrochemical devices, and discusses the stability and degradation of key ceramic components.

CELL REPORTS PHYSICAL SCIENCE (2023)

Review Chemistry, Multidisciplinary

Recent Advances and Future Prospects for Memristive Materials, Devices, and Systems

Min-Kyu Song, Ji-Hoon Kang, Xinyuan Zhang, Wonjae Ji, Alon Ascoli, Ioannis Messaris, Ahmet Samil Demirkol, Bowei Dong, Samarth Aggarwal, Weier Wan, Seok-Man Hong, Suma George Cardwell, Irem Boybat, Jae-sun Seo, Jang-Sik Lee, Mario Lanza, Hanwool Yeon, Murat Onen, Ju Li, Bilge Yildiz, Jesus A. del Alamo, Seyoung Kim, Shinhyun Choi, Gianluca Milano, Carlo Ricciardi, Lambert Alff, Yang Chai, Zhongrui Wang, Harish Bhaskaran, Mark C. Hersam, Dmitri Strukov, H. -S. Philip Wong, Ilia Valov, Bin Gao, Huaqiang Wu, Ronald Tetzlaff, Abu Sebastian, Wei Lu, Leon Chua, J. Joshua Yang, Jeehwan Kim

Summary: Memristive technology, with oxide-based resistive switches as memristors, has gained significant attention due to its biomimetic memory properties and potential improvement in power consumption. This review provides a comprehensive overview of recent advances in memristive technology, including devices, theory, algorithms, architectures, and systems. It also discusses research directions for applications in AI hardware accelerators, in-sensor computing, and probabilistic computing. Furthermore, it offers a forward-looking perspective, outlining challenges and opportunities for further research and innovation in this field.

ACS NANO (2023)

Article Materials Science, Multidisciplinary

Long-distance interface diffusion induced non-volume-conserved deformation in self-supported submicron-sized aluminum pillars

Degang Xie, Rongrong Zhang, Xiaohan Dai, Zhiyu Nie, Xinyao Wang, En Ma, Ju Li, Zhiwei Shan

Summary: Under elevated temperature and low strain rate, the compression test with self-supported aluminum pillars may not conserve the local mass/volume of the sample. Plastic flow can occur with continuous shortening while maintaining a constant overall shape. This non-conservation is due to interface diffusion between the metal and the native oxide layer, allowing mass relocation and providing large continuous plastic strain.

ACTA MATERIALIA (2023)

Article Materials Science, Multidisciplinary

Robust deep learning framework for constitutive relations modeling

Qing-Jie Li, Mahmut Nedim Cinbiz, Yin Zhang, Qi He, Geoffrey Beausoleil, Ju Li

Summary: Modeling the full-range deformation behaviors of materials under complex loading and materials conditions is a significant challenge. We propose a deep learning framework that can model high-dimensional stress-strain data and complex loading histories with robustness and universal capability. Various encoder architectures were evaluated and achieved excellent test results, providing a robust alternative to empirical/semi-empirical models for constitutive relations (CRs) modeling.

ACTA MATERIALIA (2023)

Article Materials Science, Multidisciplinary

Evolving corundum nanoparticles at room temperature

Hongbing Yang, Baoming Wang, Hong Zhang, Bing Shen, Yuanyuan Li, Ming Wang, Jianjun Wang, Wensheng Gao, Yueming Kang, Lu Li, Yanhao Dong, Jiangong Li, Ju Li

Summary: In this study, we report the gradual coarsening of sub-10 nm corundum nanoparticles at room temperature, indicating active surface diffusion at a surprisingly low temperature. Prolific surface diffusion is confirmed by in-situ transmission electron microscopy mechanical deformation, demonstrating high-strain-rate Coble pseudoelasticity. Additionally, anomalously small activation energy and growth stagnation are found in high-temperature coarsening experiments, suggesting additional chemical driving forces beyond physical capillarity.

ACTA MATERIALIA (2023)

Article Nanoscience & Nanotechnology

Autonomous experiments using active learning and AI

Zhichu Ren, Zekun Ren, Zhen Zhang, Tonio Buonassisi, Ju Li

Summary: To apply automated experiments and artificial intelligence systems in materials research, it is necessary to ensure their stability, ability to handle cognitive and random errors, and incorporate reproducibility, reconfigurability, and interoperability in autonomous lab design.

NATURE REVIEWS MATERIALS (2023)

暂无数据