Welcome to the \((M)^3\) (Multiscale Molecular Modeling, pronounced Cubic) Lab @ Xi’an Jiaotong Liverpool University! We are a theoretical and computational research group led by Dr. Zhenghao Wu (吴正浩). We use and develop tools such as molecular simulations, coarse-graining methods, statistical mechanical theories, and machine learning algorithms to study the behaviors of soft matter. We are particularly interested in polymers and biomolecules. The goal of our group is to understand, predict, and rationally design macromolecular materials to fight modern “Zombies” (energy, healthcare and sustainbility questions). To achieve these, we believe advancements in the following two areas are needed:

  • To advance the multiscale simulation capabilities to understand and predict materials properties from molecular to continuum levels
  • To develop intelligent approaches for materials-by-design of functional materials under normal and extreme conditions

News

Jan 28, 2025 Zhirui (UG student) published a first-author paper on Journal of Physical Chemistry B: Force-Field Benchmark for Polydimethylsiloxane: Density, Heat Capacities, Isothermal Compressibility, Viscosity and Thermal Conductivity
Jan 13, 2025 Dr. Wu co-authored a review paper published in Current Opinion in Solid State Materials Science: A Practical Guide to Machine Learning Interatomic Potentials–Status and Future
Dec 20, 2024 Dr. Wu co-authored a paper published in Advanced Materials: Field-Induced Polarization Rotation in Order-Disorder (K,Na)NbO3-Based Ferroelectrics
Nov 10, 2024 Dr. Wu gave a contributed talk at CCS Conference of Theory, Computation, and Modeling for Soft Matter (Guangzhou).
Jul 21, 2024 Dr. Wu gave an invited talk at SES 2024 Annual Meeting (Hangzhou) hosted by Westlake University

Selected publications

  1. JCTC
    2023-12-11-JCTC2023.png
    Structural Coarse-Graining via Multiobjective Optimization with Differentiable Simulation
    Zhenghao Wu, and Tianhang Zhou
    Journal of Chemical Theory and Computation, Mar 2024
  2. Macromolecules
    2023-03-13-Macro2023.png
    Implicit Chain Particle Model for Polymer-Grafted Nanoparticles
    Zhenghao Wu, Subhadeep Pal, and Sinan Keten
    Macromolecules, May 2023
  3. 2020-12-04-JCTC2020.png
    Combination of Hybrid Particle-Field Molecular Dynamics and Slip-Springs for the Efficient Simulation of Coarse-Grained Polymer Models: Static and Dynamic Properties of Polystyrene Melts
    Zhenghao Wu, Giuseppe Milano, and Florian Müller-Plathe
    Journal of Chemical Theory and Computation, Jan 2021