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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
Telefon

Verksam vid

Anknytning
Postdoktor vid Institutionen för tillämpad fysik och elektronik
Plats
X, Håken Gullessons väg 20, Teknikhuset, TEK.D.216 Umeå universitet, 901 87 Umeå
Multi-scale modeling in thermal conductivity of polyurethane incorporated with phase change materials using physics-informed neural networks
Renewable energy, Elsevier 2024, Vol. 220
Liu, Bokai; Wang, Yizheng; Rabczuk, Timon; et al.
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.
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 Europe 2023: beyond disciplinary boundaries, Red Hook, NY: Curran Associates, Inc. 2023 : 923-929
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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