Bokai Liu

0000-0002-7171-1219

Contact

Works as

Postdoctoral fellow at Department of Applied Physics and Electronics

X, Håken Gullessons väg 20, Teknikhuset, TEK.D.216 Umeå universitet, 901 87 Umeå

Comparative analysis of heat transfer in polyurethane with phase change materials: advancing multi-scale modeling for energy efficiency

Healthy Buildings Europe 2025 Conference, Reykjavík, Iceland, June 8-11, 2025

Liu, Bokai; Liu, Pengju; Han, Ou; et al.

Explainable artificial intelligence (XAI) for material design and engineering applications: a quantitative computational framework

International Journal of Mechanical System Dynamics, John Wiley & Sons 2025, Vol. 5, (2) : 236-265

Liu, Bokai; Liu, Pengju; Lu, Weizhuo; et al.

Explainable machine learning for multiscale thermal conductivity modeling in polymer nanocomposites with uncertainty quantification

Composite structures, Elsevier 2025, Vol. 370

Liu, Bokai; Liu, Pengju; Wang, Yizheng; et al.

Stochastic multiscale modeling for thermal conductivity in polymeric graphene-enhanced composites: a study in interpretable machine learning

Computational and Experimental Simulations in Engineering: Proceedings of ICCES 2024 - Volume 4, Springer Nature 2025 : 208-219

Liu, Bokai; Liu, Pengju; Lu, Weizhuo; et al.

Interpretable machine learning for multiscale thermal conductivity modeling in polymer nanocomposites with uncertainty quantification

International Conference on Data-Driven Computing and Machine Learning in Engineering 2024 (DACOMA2024), Nanjing, Jiangsu Province, China, October 12-14 , 2024

Liu, Bokai

Multi-scale and multi-tier energy efficient framework for sustainable buildings with PU-phase change materials in northern Sweden

2024 International Scientific Symposium for the Baltic University Programme (BUP) – “The Role of University and Research for Sustainable Regional Development”, Bialystok University of Technology, Białystok, Poland, April 21–23, 2024.

Liu, Bokai

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