Publications per year
Publications per year
Overview
Education/Academic qualification
Comp-Comp Sci, Doctorate Degree
Fingerprint
Dive into the research topics where Dan Lu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Researcher collaborations from the last five years
Based on publications and projects (not datasets). Dive into details by clicking on the dots or
-
A novel conditional generative model for efficient ensemble forecasts of state variables in large-scale geological carbon storage
Fan, M., Liu, Y., Lu, D., Wang, H. & Zhang, G., Feb 2025, In: Journal of Hydrology. 648, 132323.Research output: Contribution to journal › Article › peer-review
-
Advancing spatiotemporal forecasts of CO2 plume migration using deep learning networks with transfer learning and interpretation analysis
Fan, M., Wang, H., Zhang, J., Hosseini, S. A. & Lu, D., Feb 2024, In: International Journal of Greenhouse Gas Control. 132, 104061.Research output: Contribution to journal › Article › peer-review
Open Access5 Scopus citations -
A Scalable Real-Time Data Assimilation Framework for Predicting Turbulent Atmosphere Dynamics
Yin, J., Liang, S., Liu, S., Bao, F., Chipilski, H. G., Lu, D. & Zhang, G., 2024, Proceedings of SC 2024-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis. Institute of Electrical and Electronics Engineers Inc., p. 11-18 8 p. (Proceedings of SC 2024-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
-
Comparison of machine learning and electrical resistivity arrays to inverse modeling for locating and characterizing subsurface targets
Jamil, A., Rucker, D. F., Lu, D., Brooks, S. C., Tartakovsky, A. M., Cao, H. & Carroll, K. C., Oct 2024, In: Journal of Applied Geophysics. 229, 105493.Research output: Contribution to journal › Article › peer-review
-
Corrigendum to “Uncertainty quantification of the convolutional neural networks on permeability estimation from micro-CT scanned sandstone and carbonate rock images” [Geoenergy Sci. Eng. (2023), Vol 230, 212160] (S2949891023007479), (10.1016/j.geoen.2023.212160)
Liu, S., Fan, M. & Lu, D., Jun 2024, In: Geoenergy Science and Engineering. 237, 212514.Research output: Contribution to journal › Comment/debate
Datasets
-
Improving the Estimation of the Atmospheric Water Vapor Pressure Using Interpretable Long Short-Term Memory Networks: Dataset, Python code, and trained models
Gao, B. (Creator), Coon, E. (Creator), Thornton, P. (Creator) & Lu, D. (Creator), Environmental System Science Data Infrastructure for a Virtual Ecosystem; Environmental Systems Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE), Jan 1 2023
DOI: 10.15485/2229439
Dataset