Yu W - Search Results

1

High-Throughput Screening of Gas Sensor Materials for Decomposition Products of Eco-Friendly Insulation Medium by Machine Learning.

Wan X, Yu W, Wang A, Wang X, Robertson J, Zhang Z, Guo Y. Wan X, et al. Among authors: yu w. ACS Sens. 2023 Jun 23;8(6):2319-2330. doi: 10.1021/acssensors.3c00376. Epub 2023 May 12. ACS Sens. 2023. PMID: 37172078

2

Machine-learning-assisted discovery of highly efficient high-entropy alloy catalysts for the oxygen reduction reaction.

Wan X, Zhang Z, Yu W, Niu H, Wang X, Guo Y. Wan X, et al. Among authors: yu w. Patterns (N Y). 2022 Aug 2;3(9):100553. doi: 10.1016/j.patter.2022.100553. eCollection 2022 Sep 9. Patterns (N Y). 2022. PMID: 36124306 Free PMC article.

3

Quantum transport of sub-5 nm InSe and In₂SSe monolayers and their heterostructure transistors.

Guo H, Yin Y, Yu W, Robertson J, Liu S, Zhang Z, Guo Y. Guo H, et al. Among authors: yu w. Nanoscale. 2023 Feb 16;15(7):3496-3503. doi: 10.1039/d2nr07180k. Nanoscale. 2023. PMID: 36723054

4

Machine Learning Paves the Way for High Entropy Compounds Exploration: Challenges, Progress, and Outlook.

Wan X, Li Z, Yu W, Wang A, Ke X, Guo H, Su J, Li L, Gui Q, Zhao S, Robertson J, Zhang Z, Guo Y. Wan X, et al. Among authors: yu w. Adv Mater. 2023 Sep 9:e2305192. doi: 10.1002/adma.202305192. Online ahead of print. Adv Mater. 2023. PMID: 37688451 Review.

5

Active Learning the High-Dimensional Transferable Hubbard U and V Parameters in the DFT + U + V Scheme.

Yu W, Zhang Z, Wan X, Guo H, Gui Q, Peng Y, Li Y, Fu W, Lu D, Ye Y, Guo Y. Yu W, et al. J Chem Theory Comput. 2023 Sep 26;19(18):6425-6433. doi: 10.1021/acs.jctc.2c01116. Epub 2023 Sep 14. J Chem Theory Comput. 2023. PMID: 37709728

6

The application of multi-scale simulation in advanced electronic packaging.

Yu W, Cheng S, Li Z, Liu L, Zhang Z, Zhao Y, Guo Y, Liu S. Yu W, et al. Fundam Res. 2024 Apr 16;4(6):1442-1454. doi: 10.1016/j.fmre.2024.04.004. eCollection 2024 Nov. Fundam Res. 2024. PMID: 39734517 Free PMC article. Review.

7

A novel split-frequency feature fusion framework for processing the dual-optical images of offshore oil spills.

Chen Y, Yu W, Tang J, Sun Y, Hu H. Chen Y, et al. Among authors: yu w. Mar Pollut Bull. 2023 May;190:114840. doi: 10.1016/j.marpolbul.2023.114840. Epub 2023 Mar 28. Mar Pollut Bull. 2023. PMID: 36996611

8

A novel feature enhancement and semantic segmentation scheme for identifying low-contrast ocean oil spills.

Chen Y, Yu W, Zhou Q, Hu H. Chen Y, et al. Among authors: yu w. Mar Pollut Bull. 2024 Jan;198:115874. doi: 10.1016/j.marpolbul.2023.115874. Epub 2023 Dec 5. Mar Pollut Bull. 2024. PMID: 38056290

9

A novel lightweight bilateral segmentation network for detecting oil spills on the sea surface.

Chen Y, Sun Y, Yu W, Liu Y, Hu H. Chen Y, et al. Among authors: yu w. Mar Pollut Bull. 2022 Feb;175:113343. doi: 10.1016/j.marpolbul.2022.113343. Epub 2022 Jan 17. Mar Pollut Bull. 2022. PMID: 35051846

10

A novel environment-adaptive dual-light image enhancement framework for marine oil spill detection.

Chen Y, Zhou S, Yu W, Hu H. Chen Y, et al. Among authors: yu w. Mar Pollut Bull. 2024 Dec;209(Pt B):117257. doi: 10.1016/j.marpolbul.2024.117257. Epub 2024 Nov 13. Mar Pollut Bull. 2024. PMID: 39536375

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