Research output per year
Research output per year
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Dive into the research topics where Nursulu Kuzhagaliyeva is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Uncertainty quantification of a deep learning fuel property prediction model
Yalamanchi, K. K., Kommalapati, S., Pal, P., Kuzhagaliyeva, N., AlRamadan, A. S., Mohan, B., Pei, Y., Sarathy, S. M., Cenker, E. & Badra, J., Dec 2023, In: Applications in Energy and Combustion Science. 16, 100211.Research output: Contribution to journal › Article › peer-review
Open Access5 Scopus citations -
Artificial intelligence-driven design of fuel mixtures
Kuzhagaliyeva, N., Horvath, S., Williams, J., Nicolle, A. & Sarathy, M., Sep 16 2022, In: Communications Chemistry. 5, 1Research output: Contribution to journal › Article › peer-review
11 Scopus citations -
Using deep learning to diagnose preignition in turbocharged spark-ignited engines
Singh, E., Kuzhagaliyeva, N. & Sarathy, M., Jan 14 2022, Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines. Elsevier, p. 213-237 25 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter
4 Scopus citations -
Using deep neural networks to diagnose engine pre-ignition
Kuzhagaliyeva, N., Thabet, A., Singh, E., Ghanem, B. & Sarathy, M., Nov 12 2020, In: Proceedings of the Combustion Institute.Research output: Contribution to journal › Article › peer-review
11 Scopus citations -
Size and purity controlled synthesis of silver nanoparticles for mercury (II) ion extraction from aqueous solutions
Amangeldiuly, K., Kuzhagaliyeva, N. A., Korobeinyk, A. V. & Whitby, R. L. D., 2016, NANOCON 2016 - Conference Proceedings, 8th International Conference on Nanomaterials - Research and Application. TANGER Ltd., p. 225-230 6 p. (NANOCON 2016 - Conference Proceedings, 8th International Conference on Nanomaterials - Research and Application).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Press/Media
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KAUST develops AI framework for design of fuels optimized for engine efficiency and lower emissions
11/3/22
1 item of Media coverage
Press/Media: Press / Media
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Using AI to accelerate the development of greener fuels
11/1/22
2 items of Media coverage
Press/Media: Press / Media