Skip to main content
Lab directory

Prof. Johann Guilleminot — Research Profile

This research profile is based on public faculty information. An independent lab and student recruitment have not yet been verified.
Information sourceChecked Oct 31, 2026

Graduate application deadlines

Thomas Lord Department of Mechanical Engineering and Materials Science

  • Ph.D. in Mechanical Engineering and Materials Science

    Fall 2027
    • Application deadline

      Dec 11, 2026

    • Closing date

      Mar 8, 2027

    Source: gradschool.duke.eduChecked Nov 2, 2026
  • M.S. in Mechanical Engineering and Materials Science

    Fall 2027
    • Application deadline

      Jan 19, 2027

    • Application round

      Mar 17, 2027

    Source: gradschool.duke.eduChecked Nov 2, 2026

Considering this lab for grad school?

Save it to compare side by side with other labs. Jot a one-line note under each paper below — Application prep gathers your notes into an outline for your email to the PI and your statement of purpose. You do the writing; no AI.

What to prepare before emailing a PI

About

Prof. Johann Guilleminot at Duke University Thomas Lord Department of Mechanical Engineering and Materials Science lists Computation & Artificial Intelligence, Computational mechanics, mechanics of heterogeneous materials, molecular dynamics simulations and atomistic-to-continuum coupling, stochastic solvers, statistical inverse problem and model validation, stochastic analysis, uncertainty quantification in science and engineering as their registered research area.

Research keywords

Computation & Artificial IntelligenceComputational mechanicsmechanics of heterogeneous materialsmolecular dynamics simulations and atomistic-to-continuum couplingstochastic solversstatistical inverse problem and model validationstochastic analysisuncertainty quantification in science and engineering

Recent papers

From OpenAlex · papers whose author affiliation matches this university

Labs doing related research

Labs that recently published on topics this lab's recent papers share

Shared topic: Model Reduction and Neural Networks

Other labs in this department

See all labs in this department