
OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Using a physics-informed neural network and fault zone acoustic monitoring to predict lab earthquakes
Prabhav Borate, Jacques Rivière, Chris Marone, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 32
Prabhav Borate, Jacques Rivière, Chris Marone, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 32
Showing 26-50 of 32 citing articles:
Physics-Encoded Finite Element Network to Handle Concentration Features and Multi-Material Heterogeneity in Hyperelasticity
Yinglin Wang, Zhen‐Yu Yin
(2024)
Closed Access
Yinglin Wang, Zhen‐Yu Yin
(2024)
Closed Access
Empowering Machine Learning Forecasting of Labquake Using Event‐Based Features and Clustering Characteristics
Sadegh Karimpouli, Grzegorz Kwiatek, Yehuda Ben‐Zion, et al.
Journal of Geophysical Research Machine Learning and Computation (2024) Vol. 1, Iss. 2
Open Access
Sadegh Karimpouli, Grzegorz Kwiatek, Yehuda Ben‐Zion, et al.
Journal of Geophysical Research Machine Learning and Computation (2024) Vol. 1, Iss. 2
Open Access
Multi-level structural damage characterization using sparse acoustic sensor networks and knowledge transferred deep learning
Rajendra P. Palanisamy, Do-Kyung Pyun, Alp T. Findikoğlu
Ultrasonics (2024) Vol. 142, pp. 107390-107390
Open Access
Rajendra P. Palanisamy, Do-Kyung Pyun, Alp T. Findikoğlu
Ultrasonics (2024) Vol. 142, pp. 107390-107390
Open Access
Literature review on aftershock and earthquake prediction models aided by NLP summarization and ontology extraction techniques
Daulet Baktibayev, Beibarys Baigozha, Iskander Akhmetov, et al.
Procedia Computer Science (2024) Vol. 238, pp. 579-586
Open Access
Daulet Baktibayev, Beibarys Baigozha, Iskander Akhmetov, et al.
Procedia Computer Science (2024) Vol. 238, pp. 579-586
Open Access
Thermal-Hydraulic Coupling Solution: Quantifying velocity and temperature fields in convective heat transfer from sparse data
Ruina Xu, Qingyan Weng, Yuli Cao, et al.
Research Square (Research Square) (2024)
Open Access
Ruina Xu, Qingyan Weng, Yuli Cao, et al.
Research Square (Research Square) (2024)
Open Access
Deep Learning Forecasts Caldera Collapse Events at Kı̄lauea Volcano
Ian W. McBrearty, P. Segall
Journal of Geophysical Research Solid Earth (2024) Vol. 129, Iss. 8
Open Access
Ian W. McBrearty, P. Segall
Journal of Geophysical Research Solid Earth (2024) Vol. 129, Iss. 8
Open Access
Data-driven prediction of vortex solitons and multipole solitons in whispering gallery mode microresonator
Zhengxin Yu, Long‐Fei Ren, Lang Li, et al.
Chaos Solitons & Fractals (2024) Vol. 188, pp. 115562-115562
Closed Access
Zhengxin Yu, Long‐Fei Ren, Lang Li, et al.
Chaos Solitons & Fractals (2024) Vol. 188, pp. 115562-115562
Closed Access
Enhanced physics-informed neural networks without labeled data for weakly and fully coupled transient thermomechanical analysis
Haihang Xu, Chong Wang, Haikun Jia, et al.
International Journal of Solids and Structures (2024) Vol. 305, pp. 113092-113092
Closed Access
Haihang Xu, Chong Wang, Haikun Jia, et al.
International Journal of Solids and Structures (2024) Vol. 305, pp. 113092-113092
Closed Access
Seismic fingerprint predicts ground motions during the 2018 Kilauea collapse sequence
Christopher Johnson, Paul A. Johnson
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
Christopher Johnson, Paul A. Johnson
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
Relationships between fault friction, slip time, and physical parameters explored by experiment-based friction model: A Machine Learning Approach Using Recurrent Neural Networks (RNNs)
Tae-hoon UHMB, Yohei Hamada, Takehiro Hirose
Research Square (Research Square) (2023)
Open Access
Tae-hoon UHMB, Yohei Hamada, Takehiro Hirose
Research Square (Research Square) (2023)
Open Access