Grants per year
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Dive into the research topics where Kookjin Lee is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Grants
- 2 Active
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Subcontract: SANDIA beyond fingerprinting grand challenge LDRD
Sandia National Laboratories (SNL)
3/1/22 → 9/19/24
Project: Research project
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Climate modeling with neural advection–diffusion equation
Choi, H., Choi, J., Hwang, J., Lee, K., Lee, D. & Park, N., Jun 2023, In: Knowledge and Information Systems. 65, 6, p. 2403-2427 25 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Calibrating hypersonic turbulence flow models with the HIFiRE-1 experiment using data-driven machine-learned models
Chowdhary, K., Hoang, C., Lee, K., Ray, J., Weirs, V. G. & Carnes, B., Nov 1 2022, In: Computer Methods in Applied Mechanics and Engineering. 401, 115396.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Deep Sequence Models for Packet Stream Analysis and Early Decisions
Kim, M., Lee, D., Lee, K., Kim, D., Lee, S. & Kim, J., 2022, Proceedings of the 47th IEEE Conference on Local Computer Networks, LCN 2022. Oteafy, S., Bulut, E. & Tschorsch, F. (eds.). IEEE Computer Society, p. 56-63 8 p. (Proceedings - Conference on Local Computer Networks, LCN).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Enhanced alternating energy minimization methods for stochastic galerkin matrix equations
Lee, K., Elman, H. C., Powell, C. E. & Lee, D., 2022, (Accepted/In press) In: BIT Numerical Mathematics.Research output: Contribution to journal › Article › peer-review
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On surrogate learning for linear stability assessment of Navier-Stokes Eeuations with stochastic viscosity
Sousedík, B., Elman, H. C., Lee, K. & Price, R., Dec 2022, In: Applications of Mathematics. 67, 6, p. 727-749 23 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations
Press/Media
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Researchers from Sandia National Laboratories Detail Findings in Information Technology (Calibrating Hypersonic Turbulence Flow Models With the Hifire-1 Experiment Using Data-driven Machine-learned Models)
6/20/23
1 item of Media coverage
Press/Media: Press / Media