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Alexander Y. Sun
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2020 – today
- 2023
- [c1]Alexander Y. Sun
, Zhi Li, Wonhyun Lee, Qixing Huang, Bridget R. Scanlon, Clint Dawson:
Rapid Flood Inundation Forecast Using Fourier Neural Operator. ICCV (Workshops) 2023: 3735-3741 - [i4]Alexander Y. Sun
Rapid Flood Inundation Forecast Using Fourier Neural Operator. CoRR abs/2307.16090 (2023) - 2021
- [i3]Alexander Y. Sun, Hongkyu Yoon, Chung-Yan Shih, Zhi Zhong:
Applications of physics-informed scientific machine learning in subsurface science: A survey. CoRR abs/2104.04764 (2021)
2010 – 2019
- 2019
- [j5]Alexander Y. Sun
Building complex event processing capability for intelligent environmental monitoring. Environ. Model. Softw. 116: 1-6 (2019) - [i2]Alexander Y. Sun, Bridget R. Scanlon, Zizhan Zhang, David Walling, Soumendra N. Bhanja, Abhijit Mukherjee, Zhi Zhong:
Combining Physically-Based Modeling and Deep Learning for Fusing GRACE Satellite Data: Can We Learn from Mismatch? CoRR abs/1902.01933 (2019) - 2018
- [j4]Alexander Y. Sun
Metamodeling-based approach for risk assessment and cost estimation: Application to geological carbon sequestration planning. Comput. Geosci. 113: 70-80 (2018) - [i1]Alexander Y. Sun:
Discovering state-parameter mappings in subsurface models using generative adversarial networks. CoRR abs/1810.12856 (2018) - 2017
- [j3]Alexander Y. Sun
Using GRACE Satellite Gravimetry for Assessing Large-Scale Hydrologic Extremes. Remote. Sens. 9(12): 1287 (2017) - 2013
- [j2]Yong Liu
Cloud computing for integrated stochastic groundwater uncertainty analysis. Int. J. Digit. Earth 6(4): 313-337 (2013) - [j1]Alexander Y. Sun
Enabling collaborative decision-making in watershed management using cloud-computing services. Environ. Model. Softw. 41: 93-97 (2013)
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