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Umeå universitet
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Huvudmenyn dold.

Bokai Liu

0000-0002-7171-1219

Kontakt

E-post
bokai.liu@umu.se
Plats
X, Håken Gullessons väg 20, Teknikhuset, TEK.D.216 Umeå universitet, 901 87 Umeå
Telefon

Verksam vid

Anknytning
Anknuten som gästforskare till Institutionen för tillämpad fysik och elektronik
Anknytning
Postdoktor vid Institutionen för tillämpad fysik och elektronik
Stochastic interpretable machine learning based multiscale modeling in thermal conductivity of Polymeric graphene-enhanced composites
Composite structures, Elsevier 2024, Vol. 327
Liu, Bokai; Lu, Weizhuo; Olofsson, Thomas; et al.
Al-DeMat: A web-based expert system platform for computationally expensive models in materials design
Advances in Engineering Software, Elsevier 2023, Vol. 176
Liu, Bokai; Vu-Bac, Nam; Zhuang, Xiaoying; et al.
Data-driven quantitative analysis of an integrated open digital ecosystems platform for user-centric energy retrofits: A case study in northern Sweden
Technology in society, Elsevier 2023, Vol. 75
Liu, Bokai; Penaka, Santhan Reddy; Lu, Weizhuo; et al.
Multi-scale modeling in thermal conductivity of polyurethane incorporated with phase change materials using physics-informed neural networks
Renewable energy, Elsevier 2023, Vol. 220
Liu, Bokai; Wang, Yizheng; Rabczuk, Timon; et al.
Multiscale modeling of Heat transfer in Polyurethane - Phase Change Materials composites
Yound investigators symposium Umeå 2023: Book of abstracts & programme, Umeå: Umeå University 2023 : 29-29
Liu, Bokai; Lu, Weizhuo; Olofsson, Thomas
Multiscale modeling of thermal properties in Polyurethane incorporated with phase change materials composites: a case study
Healthy buildings 2023 Europe: beyond disciplinary boundaries: Book of abstracts : 379-379
Liu, Bokai; Lu, Weizhuo; Hu, Xiaoyue; et al.
Prediction of bending strength of glass fiber reinforced methacrylate-based pipeline UV-CIPP rehabilitation materials based on machine learning
Tunnelling and Underground Space Technology, Elsevier 2023, Vol. 140
Xia, Yangyang; Zhang, Chao; Wang, Cuixia; et al.
Stochastic multiscale modeling of polymer nanocomposites based on integrated machine learning
DACOMA -23. Data-driven computing and machine learning in engineering 2023: program book, Beijing Institute of technology 2023 : 30-30
Liu, Bokai
Surrogate models in machine learning for computational stochastic multi-scale modelling in composite materials design
International Journal of Hydromechatronics, InderScience Publishers 2022, Vol. 5, (4) : 336-365
Liu, Bokai; Lu, Weizhuo
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