Research

Below you can see how CIMNE’s research is structured. By the end of 2023, the RTD groups will have combined their efforts to form clusters. This new structure foresees three types of RTD clusters: methodological clusters, application clusters and clusters focused on the transfer of knowledge to society, called innovation units.

We invite you to get to know them through the following navigation menu, where you will be able to find out about the research carried out at CIMNE, grouped according to topics and methodologies.

Research Topics

Research Methodologies

settingsApplication-driven RTD Clusters
school Methodology-driven RTD Clusters
emoji_objectsInnovation Units

Adaptation to climate change

  • Geomechanics and hydrogeology
  • Machine learning and models in hydro-environmental engineering
  • Mechanics of advanced materials and metamaterials
  • KRATOS multiphysics
  • Structural & particle mechanics

Mobility, cities & territory

  • Aeronautical, marine, automotive and energy engineering
  • CENIT
  • Credible high fidelity and data driven models
  • Geomechanics and hydrogeology
  • KRATOS multiphysics
  • Mechanics of advanced materials and metamaterials

Energy and Environment

  • Beegroup
  • Credible high fidelity and data driven models
  • Geomechanics and hydrogeology
  • Machine learning and models in hydro-environmental engineering
  • Mechanics of advanced materials and metamaterials
  • KRATOS multiphysics
  • Structural & particle mechanics

Health

  • Computational mechanics in medical engineering and living matter
  • Credible high fidelity and data driven models
  • Mechanics of advanced materials and metamaterials
  • Structural & particle mechanics

Industrial processes

  • Aeronautical, marine, automotive and energy engineering
  • Solid and fluid simulation for industrial processes
  • Credible high fidelity and data driven models
  • Mechanics of advanced materials and metamaterials
  • KRATOS multiphysics
  • Structural & particle mechanics

Data driven models

  • Beegroup
  • Credible high fidelity and data driven models
  • Geomechanics and hydrogeology
  • GID-TIC
  • Machine learning and models in hydro-environmental engineering
  • Solid and fluid simulation for industrial processes
  • CENIT

High performance computing

  • Geomechanics and hydrogeology
  • GID-TIC
  • KRATOS multiphysics
  • Solid and fluid simulation for Industrial Processes

Physical and mathematical models

  • Aeronautical, marine, automotive and energy engineering
  • Computational mechanics in medical engineering and living matter
  • Geomechanics and hydrogeology
  • Machine learning and models in hydro-environmental engineering
  • Solid and fluid simulation for industrial processes

Discretization techniques

  • Aeronautical, marine, automotive and energy engineering
  • Beegroup
  • Computational mechanics in medical engineering and living matter
  • Credible high fidelity and data driven models
  • Geomechanics and hydrogeology
  • GID-TIC
  • KRATOS multiphysics
  • Machine learning and models in hydro-environmental engineering
  • Solid and fluid simulation for Industrial Processes
  • Structural & Particle Mechanics