Zobrazeno 1 - 10
of 13 134
pro vyhledávání: '"Mengke An"'
Publikováno v:
International Journal of Mining Science and Technology, Vol 34, Iss 9, Pp 1273-1282 (2024)
Basalt is a major component of the earth and moon crust. Mineral composition and temperature influence frictional instability and thus the potential for seismicity on basaltic faults. We performed velocity-stepping shear experiments on basalt gouges
Externí odkaz:
https://doaj.org/article/c56ba5443bf348c399eb4c52734aac72
Publikováno v:
Underground Space, Vol 20, Iss , Pp 33-45 (2025)
Fracture/fault instability induced by fluid injection in deep geothermal reservoirs could not only vary the reservoir permeability but also trigger hazardous seismicity. To address this, we conducted triaxial shear experiments on granite fractures wi
Externí odkaz:
https://doaj.org/article/2ec1103536384d2a87cbafbec8f588f9
Publikováno v:
Deep Underground Science and Engineering, Vol 1, Iss 1, Pp 3-14 (2022)
Abstract Microearthquakes accompanying shale gas recovery highlight the importance of exploring the frictional and stability properties of shale gouges. Aiming to reveal the influencing factors on fault stability, this paper explores the impact of mi
Externí odkaz:
https://doaj.org/article/307f5658bad141c0b9892670203c1971
Clustering complex data in the form of attributed graphs has attracted increasing attention, where appropriate graph representation is a critical prerequisite for accurate cluster analysis. However, the Graph Convolutional Network will homogenize the
Externí odkaz:
http://arxiv.org/abs/2411.14727
Autor:
Broyles, Christopher, Mardanya, Sougata, Liu, Mengke, Ahn, Junyeong, Dinh, Thao, Alqasseri, Gadeer, Garner, Jalen, Rehfuss, Zackary, Guo, Ken, Zhu, Jiahui, Martinez, David, Li, Du, Hao, Yiqing, Cao, Huibo, Boswell, Matt, Xie, Weiwei, Philbrick, Jeremy G., Kong, Tai, Yang, Li, Vishwanath, Ashvin, Kim, Philip, Xu, Su-Yang, Hoffman, Jennifer E., Denlinger, Jonathan D., Chowdhury, Sugata, Ran, Sheng
Since the initial discovery of two-dimensional van der Waals (vdW) materials, significant effort has been made to incorporate the three properties of magnetism, band structure topology, and strong electron correlations $-$ to leverage emergent quantu
Externí odkaz:
http://arxiv.org/abs/2411.08816
Autor:
Lu, Kaixuan, Zhang, Ruiqian, Huang, Xiao, Xie, Yuxing, Ning, Xiaogang, Zhang, Hanchao, Yuan, Mengke, Zhang, Pan, Wang, Tao, Liao, Tongkui
Recent self-supervised learning (SSL) methods have demonstrated impressive results in learning visual representations from unlabeled remote sensing images. However, most remote sensing images predominantly consist of scenographic scenes containing mu
Externí odkaz:
http://arxiv.org/abs/2411.06091
Long-tail learning has garnered widespread attention and achieved significant progress in recent times. However, even with pre-trained prior knowledge, models still exhibit weaker generalization performance on tail classes. The promising Sharpness-Aw
Externí odkaz:
http://arxiv.org/abs/2410.21042
Autor:
Steinacker, Paul, Stuyck, Nard Dumoulin, Lim, Wee Han, Tanttu, Tuomo, Feng, MengKe, Nickl, Andreas, Serrano, Santiago, Candido, Marco, Cifuentes, Jesus D., Hudson, Fay E., Chan, Kok Wai, Kubicek, Stefan, Jussot, Julien, Canvel, Yann, Beyne, Sofie, Shimura, Yosuke, Loo, Roger, Godfrin, Clement, Raes, Bart, Baudot, Sylvain, Wan, Danny, Laucht, Arne, Yang, Chih Hwan, Saraiva, Andre, Escott, Christopher C., De Greve, Kristiaan, Dzurak, Andrew S.
Fabrication of quantum processors in advanced 300 mm wafer-scale complementary metal-oxide-semiconductor (CMOS) foundries provides a unique scaling pathway towards commercially viable quantum computing with potentially millions of qubits on a single
Externí odkaz:
http://arxiv.org/abs/2410.15590
Understanding the fragmentation of the gas cloud and the formation of massive stars remains one of the most challenging questions of modern astrophysical research. Either the gas fragmentation in a Jeans-like fashion, after which the fragments grow t
Externí odkaz:
http://arxiv.org/abs/2410.14610
Autor:
Wei, Mengke, Amann, Andreas, Burylko, Oleksandr, Han, Xiujing, Yanchuk, Serhiy, Kurths, Jürgen
Adaptive dynamical networks are ubiquitous in real-world systems. This paper aims to explore the synchronization dynamics in networks of adaptive oscillators based on a paradigmatic system of adaptively coupled phase oscillators. Our numerical observ
Externí odkaz:
http://arxiv.org/abs/2409.08348