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CMP
Credit: Jack Hobhouse

Dr Minfei Liang

Postdoctoral researcher in AI-enhanced zero-emission buildings

Sub department

  • Condensed Matter Physics
minfei.liang@physics.ox.ac.uk
Clarendon Laboratory
  • About

I am a postdoctoral researcher at Univeristy of Oxford, specializing in mechanical testing, numerical modeling, and machine learning applications for materials and structures in civil engineering. Prior to this, I did my PhD at Delft University of Technology, where I focused on novel experimental and numerical modelling techniques of early-age cracking of concrete structures. My work is dedicated to advancing a greener and smarter future for the construction industry.

My research spans various aspects of concrete materials and structures, encompassing experiments and simulations of early-age properties/ behaviors, micromechanical properties/ behaviors, and machine learning models for multiscale and multiphysics simulations. I am also interested in structural properties of transportation structures such as tunnels and bridges.

Currently, I am working in an EU project aimed for developing zero-emission building materials enhanced by artificial intelligence. Meanwhile, I am studying generative and physics-informed machine learning for multiscale computational mechanics.

Personal website

Research interests

Bio-inspired construction materials
Sustainable structures and materials
Finite Element Methods
Artificial Intelligence
Creep and shrinkage of cementitious materials

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