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Bokai Liu

Stochastic integrated machine learning based multiscale approach for the prediction of the thermal conductivity in carbon nanotube reinforced polymeric composites
2022 · Bokai Liu, Nam Vu-Bac, et al. · Composites Science and Technology · 202
A stochastic multiscale method for the prediction of the thermal conductivity of Polymer nanocomposites through hybrid machine learning algorithms
2021 · Bokai Liu, Nam Vu-Bac, et al. · Composite Structures · 199
Multi-scale modeling in thermal conductivity of Polyurethane incorporated with Phase Change Materials using Physics-Informed Neural Networks
2023 · Bokai Liu, Yizheng Wang, et al. · Renewable Energy · 184
Stochastic full-range multiscale modeling of thermal conductivity of Polymeric carbon nanotubes composites: A machine learning approach
2022 · Bokai Liu, Nam Vu-Bac, et al. · Composite Structures · 172
Surrogate models in machine learning for computational stochastic multi-scale modelling in composite materials design
2022 · Bokai Liu, Weizhuo Lu · International Journal of Hydromechatronics · 149
Stochastic interpretable machine learning based multiscale modeling in thermal conductivity of Polymeric graphene-enhanced composites
2023 · Bokai Liu, Weizhuo Lu, et al. · Composite Structures · 140
Stochastic multiscale modeling of heat conductivity of Polymeric clay nanocomposites
2019 · Bokai Liu, Nam Vu-Bac, et al. · Mechanics of Materials · 139
Al-DeMat: A web-based expert system platform for computationally expensive models in materials design
2022 · Bokai Liu, Nam Vu-Bac, et al. · Advances in Engineering Software · 105
Explainable Artificial Intelligence (XAI) for Material Design and Engineering Applications: A Quantitative Computational Framework
2025 · Bokai Liu, Pengju Liu, et al. · International journal of mechanical system dynamics · 102
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Data-driven quantitative analysis of an integrated open digital ecosystems platform for user-centric energy retrofits: A case study in northern Sweden
2023 · Bokai Liu, Santhan Reddy Penaka, et al. · Technology in Society · 100
Prediction of bending strength of glass fiber reinforced methacrylate-based pipeline UV-CIPP rehabilitation materials based on machine learning
2023 · Yangyang Xia, Chao Zhang, et al. · Tunnelling and Underground Space Technology · 83
Explainable machine learning for multiscale thermal conductivity modeling in polymer nanocomposites with uncertainty quantification
2025 · Bokai Liu, Pengju Liu, et al. · Composite Structures · 70
An Archimedes Optimization Algorithm Based Extreme Gradient Boosting Model for Predicting the Bending Strength of UV Cured Glass Fiber Reinforced Polymer Composites
2025 · Xi Zhang, Yangyang Xia, et al. · Polymer Composites · 33
A prediction model for dyke-dam piping based on data augmentation and interpretable ensemble learning
2025 · Xi Zhang, Yangyang Xia, et al. · Engineering Failure Analysis · 31
A pretraining-finetuning computational framework for material homogenization
2026 · Yizheng Wang, Xiang Li, et al. · International Journal of Mechanical Sciences · 15
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HomoGenius: a Foundation Model of Homogenization for Rapid Prediction of Effective Mechanical Properties using Neural Operators
2024 · yizheng Wang, Xiang Li, et al. · Research Square · 6
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The Effect of Air Void on the Laboratory Properties of Polyurethane Mixtures
2025 · Yunhao Zhou, Shijie Ma, et al. · Coatings · 4
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Multiscale Modeling of Thermal Properties in Polyurethane Incorporated With Phase Change Materials Composites: A Case Study
2023 · Bokai Liu, Weizhuo Lu, et al. · SSRN Electronic Journal · 4
A novel NTK-guided multi-stage adaptive physics-informed deep learning for forward and inverse analysis in solid mechanics and transfer learning
2026 · Chenhui Ye, Hongwei Guo, et al. · International Journal of Solids and Structures · 2
Stochastic Multiscale Modeling for Thermal Conductivity in Polymeric Graphene-Enhanced Composites: A Study in Interpretable Machine Learning
2025 · Bokai Liu, Pengju Liu, et al. · Mechanisms and machine science · 1
Ice accretion growth of high-speed railway contact wires under periodic traction load
2026 · Bokai Liu, Lijun Zhou, et al. · Cold Regions Science and Technology
Managing Crystallization of CsPbI2Br Films for High-Performance Indoor and Outdoor Photovoltaics
2026 · Fazheng Qiu, Jiayi Sun, et al. · ACS Applied Materials & Interfaces
Estimation method for icing distribution along a railway catenary using CNN-SimAM-PINN hybrid deep learning
2026 · Yuning Wang, Lijun Zhou, et al. · Cold Regions Science and Technology
Numerical Simulation Study on the Temperature Rise Characteristics of Asphalt Pavement During Hot In-Place Recycling
2026 · Chuanyi Ma, Jizhe Zhang, et al. · Materials
Quantitative Causal Inference for Uncertainty Analysis in Multi-Scale Modeling of Polymer Composites
2026 · Bokai Liu, Pengju Liu, et al. · Mechanisms and machine science
Works count: 30
Citation count: 1,741
H-index: 15
I10-index: 15
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