Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Jiaxun Xie"'
Autor:
Andre K. Y. Low, Flore Mekki-Berrada, Abhishek Gupta, Aleksandr Ostudin, Jiaxun Xie, Eleonore Vissol-Gaudin, Yee-Fun Lim, Qianxiao Li, Yew Soon Ong, Saif A. Khan, Kedar Hippalgaonkar
Publikováno v:
npj Computational Materials, Vol 10, Iss 1, Pp 1-11 (2024)
Abstract The development of automated high-throughput experimental platforms has enabled fast sampling of high-dimensional decision spaces. To reach target properties efficiently, these platforms are increasingly paired with intelligent experimental
Externí odkaz:
https://doaj.org/article/0fb91db8811d4d46a6d55d2c7d7fdeed
Autor:
Flore Mekki-Berrada, Zekun Ren, Tan Huang, Wai Kuan Wong, Fang Zheng, Jiaxun Xie, Isaac Parker Siyu Tian, Senthilnath Jayavelu, Zackaria Mahfoud, Daniil Bash, Kedar Hippalgaonkar, Saif Khan, Tonio Buonassisi, Qianxiao Li, Xiaonan Wang
Publikováno v:
npj Computational Materials, Vol 7, Iss 1, Pp 1-10 (2021)
Abstract In materials science, the discovery of recipes that yield nanomaterials with defined optical properties is costly and time-consuming. In this study, we present a two-step framework for a machine learning-driven high-throughput microfluidic p
Externí odkaz:
https://doaj.org/article/0ac9eaf9fc9e46a2ad63c0e8d956006b
Publikováno v:
Veterinary Research, Vol 50, Iss 1, Pp 1-12 (2019)
Abstract As a key cellular transcription factor that plays a central role in cellular responses to a broad range of stress factors, p53 has generally been considered as a host cell restriction factor for various viral infections. However, the defined
Externí odkaz:
https://doaj.org/article/dbac140c018b434cb08c42d412bc6efa
Autor:
Lih-Wen Deng, Jia-Wei Rong, Shabana Binte Idres, Jiaxun Xie, Chen Weihao, Saif A. Khan, Jie Wu, Wen-Bin Wu, Mu Wang, Chenguang Liu
Publikováno v:
Nature Chemistry
Recent advances in end-to-end continuous-flow synthesis are rapidly expanding the capabilities of automated customized syntheses of small-molecule pharmacophores, resulting in considerable industrial and societal impacts; however, many hurdles persis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef47ef86f8e398465069630fdf4fe080
http://europepmc.org/articles/PMC8054510
http://europepmc.org/articles/PMC8054510
Publikováno v:
Chemistry–Methods. 2
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::466045f107afe6ba8cab0d53d405454f
https://doi.org/10.1002/cmtd.202100086
https://doi.org/10.1002/cmtd.202100086
Autor:
Jiaxun Xie
Publikováno v:
Proceedings of the 2022 5th International Conference on Humanities Education and Social Sciences (ICHESS 2022) ISBN: 9782494069886
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::861e033764bd5e92af4e939df4803aa5
https://doi.org/10.2991/978-2-494069-89-3_72
https://doi.org/10.2991/978-2-494069-89-3_72
Autor:
Kedar Hippalgaonkar, Saif A. Khan, Xiaonan Wang, Senthilnath Jayavelu, Qianxiao Li, Daniil Bash, Zackaria Mahfoud, Flore Mekki-Berrada, Tonio Buonassisi, Tan Huang, Isaac Parker Siyu Tian, Fang Zheng, Wai Kuan Wong, Zekun Ren, Jiaxun Xie
Publikováno v:
npj Computational Materials, Vol 7, Iss 1, Pp 1-10 (2021)
In materials science, the discovery of recipes that yield nanomaterials with defined optical properties is costly and time-consuming. In this study, we present a two-step framework for a machine learning-driven high-throughput microfluidic platform t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5157e15b5c3a97c296cd2bef74c82092
https://doi.org/10.1038/s41524-021-00520-w
https://doi.org/10.1038/s41524-021-00520-w
Autor:
Saif A. Khan, Wai Kuan Wong, Qianxiao Li, Pawan Kumar, Yee-Fun Lim, Xu Yang, Jayce J. Cheng, Jatin N. Kumar, Jiaxun Xie, Swee Liang Wong, Zekun Ren, Siyu Isaac Parker Tian, Flore Mekki-Berrada, Daniil Bash, Anas Abutaha, Jin Da Tan, Kedar Hippalgaonkar, Tonio Buonassisi, Yongqiang Cai, Vijila Chellappan
Publikováno v:
Advanced Functional Materials. 31:2102606
Combining high-throughput experiments with machine learning accelerates materials and process optimization toward user-specified target properties. In this study, a rapid machine learning-driven automated flow mixing setup with a high-throughput drop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19c0311e1eabec70f564988980f61a7e
https://doi.org/10.1002/adfm.202102606
https://doi.org/10.1002/adfm.202102606
Publikováno v:
Veterinary Research
Veterinary Research, BioMed Central, 2019, 50 (1), pp.9. ⟨10.1186/s13567-019-0627-1⟩
Veterinary Research, Vol 50, Iss 1, Pp 1-12 (2019)
Veterinary Research, BioMed Central, 2019, 50 (1), pp.9. ⟨10.1186/s13567-019-0627-1⟩
Veterinary Research, Vol 50, Iss 1, Pp 1-12 (2019)
International audience; AbstractAs a key cellular transcription factor that plays a central role in cellular responses to a broad range of stress factors, p53 has generally been considered as a host cell restriction factor for various viral infection
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d41529bad03623064165101463eea53d
https://doi.org/10.1186/s13567-019-0627-1
https://doi.org/10.1186/s13567-019-0627-1
Publikováno v:
Advanced Materials Technologies. 6:2170020
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::752c1f64afd3b568f7d4a6a356517a83
https://doi.org/10.1002/admt.202170020
https://doi.org/10.1002/admt.202170020