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Contact


Email

nick.robe@unimelb.edu.au

Credentials


Position
Research Fellow
Department of Mechanical Engineering
ORCID

0000-0002-5477-2319

Dr Nick Robe

Research Fellow
Department of Mechanical Engineering

12 Scholarly works
1 Projects

HIGHLIGHTS

  • 2026

    Journal article

    StrAPS: Structural angular power spectrum for unsupervised morphology identification in block copolymers
    DOI: 10.1016/j.commatsci.2026.114855
  • 2025

    Journal article

    Interpretable SHAP-bounded Bayesian optimization for underwater acoustic metamaterial coating design
    DOI: 10.1007/s00158-025-04104-w
  • 2025

    Journal article

    Constrained Bayesian accelerated design of acoustic polyurethane coatings with metamaterial features under hydrostatic pressure
    DOI: 10.1007/s00158-025-04107-7
  • 2025

    Journal article

    From SMILES to scattering: Automated high-throughput atomistic polyurethane simulations compared with WAXS data
    DOI: 10.1016/j.commatsci.2025.113931
  • 2025

    Research grants (other domestic)

    AI-enabled Novel Software Platform for Accelerated Design of Fit-for-Purpose Polymeric Materials
  • 2025

    Journal article

    Interpretable active learning meta-modeling for the association dynamics of telechelic polymers on colloidal particles
    DOI: 10.1122/8.0000930
  • 2025

    Thesis / Dissertation

    Machine Learning Accelerated Multiscale Simulations for Waterborne Coating Fluids
Nick Robe

RECENT SCHOLARLY WORKS

  • 2024

    Journal article

    Evanescent Gels: Competition between Sticker Dynamics and Single-Chain Relaxation
    DOI: 10.1021/acs.macromol.3c02055
  • 2023

    Journal article

    Bayesian coarsening: rapid tuning of polymer model parameters
    DOI: 10.1007/s00397-023-01397-w
  • 2023

    Conference Proceedings

    Efficient Tuning of Coarse Grained Polymer Models Using Bayesian Inference
  • 2018

    Journal article

    Aging is a log-Poisson process, not a renewal process
    DOI: 10.1103/PhysRevE.98.020602
  • 2018

    Journal article

    Two-time correlations for probing the aging dynamics of glassy colloids
    DOI: 10.1039/c8sm02191k

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