Hanfeng Zhai

All Publications

• Benchmarking inverse optimization algorithms for materials design APL MATERIALS Zhai, H., Hao, H., Yeo, J. 2024; 12 (2)

  View details for DOI 10.1063/5.0177266

  View details for Web of Science ID 001157670400002

• Controlling biofilm transport with porous metamaterials designed with Bayesian learning JOURNAL OF THE MECHANICAL BEHAVIOR OF BIOMEDICAL MATERIALS Zhai, H., Yeo, J. 2023; 147 (106127)

  View details for DOI 10.1016/j.jmbbm.2023.106127

• Computational and data-driven modelling of solid polymer electrolytes DIGITAL DISCOVERY Wang, K., Shi, H., Li, T., Zhao, L., Zhai, H., Korani, D., Yeo, J. 2023

  View details for DOI 10.1039/d3dd00078h

  View details for Web of Science ID 001091846000001

• Multiscale Mechanics of Thermal Gradient Coupled Graphene Fracture: A Molecular Dynamics Study INTERNATIONAL JOURNAL OF APPLIED MECHANICS Zhai, H., Yeo, J. 2023; 15 (06)

  View details for DOI 10.1142/S1758825123500448

  View details for Web of Science ID 000988278400001

• Computational Design of Antimicrobial Active Surfaces via Automated Bayesian Optimization ACS BIOMATERIALS SCIENCE & ENGINEERING Zhai, H., Yeo, J. 2023; 9 (1): 269-279

  Abstract

  Biofilms pose significant problems for engineers in diverse fields, such as marine science, bioenergy, and biomedicine, where effective biofilm control is a long-term goal. The adhesion and surface mechanics of biofilms play crucial roles in generating and removing biofilm. Designing customized nanosurfaces with different surface topologies can alter the adhesive properties to remove biofilms more easily and greatly improve long-term biofilm control. To rapidly design such topologies, we employ individual-based modeling and Bayesian optimization to automate the design process and generate different active surfaces for effective biofilm removal. Our framework successfully generated optimized functional nanosurfaces for improved biofilm removal through applied shear and vibration. Densely distributed short pillar topography is the optimal geometry to prevent biofilm formation. Under fluidic shearing, the optimal topography is to sparsely distribute tall, slim, pillar-like structures. When subjected to either vertical or lateral vibrations, thick trapezoidal cones are found to be optimal. Optimizing the vibrational loading indicates a small vibration magnitude with relatively low frequencies is more efficient in removing biofilm. Our results provide insights into various engineering fields that require surface-mediated biofilm control. Our framework can also be applied to more general materials design and optimization.

  View details for DOI 10.1021/acsbiomaterials.2c01079

  View details for Web of Science ID 000903614000001

  View details for PubMedID 36537745

• Predicting micro-bubble dynamics with semi-physics-informed deep learning AIP ADVANCES Zhai, H., Zhou, Q., Hu, G. 2022; 12 (3)

  View details for DOI 10.1063/5.0079602

  View details for Web of Science ID 000781381900003

• Controlling Chaos in Van Der Pol Dynamics Using Signal-Encoded Deep Learning MATHEMATICS Zhai, H., Sands, T. 2022; 10 (3)

  View details for DOI 10.3390/math10030453

  View details for Web of Science ID 000759318800001