Database providing access to the High Technology Network's industrial research offering: research competences, type of analyses and tests available at the Laboratories. Companies can consult the Catalogue to find Laboratories and researchers that match their needs.

Results: 45
Competence
Acquisition and pre-processing of signals for model identification
Air quality modeling
Alternative fuels and distribution networks
Analysis and tests of compliance with atmospheric emission limits
Carbon-based materials (graphene oxides, TPG, etc.)
Ceramic materials (oxides, nitrides, carbides, etc.)
Ceramic matrix composites and nanocomposites
Continuous-time and discrete-time mathematical modeling of systems and processes
Corrosion: protection and inhibition
Cosmetics
Data management and treatment (big and open data) for mobility
Discrete events mathematical modeling of systems and processes
Elastomers
Finite element simulation (FEM)
Formal languages for systems modeling (Unified Modeling Language-UML and SysML-System Modeling Language)
Glass and glass-ceramic materials
Identification of models and parameters estimation
Infinite-dimensional mathematical modeling of systems
Low environmental impact logistics
Low environmental impact vehicles
Magnetic materials both bulk and nano
Magnetorheological fluids
Materials of natural origin and derived (wood, paper, cellulose, fibers, etc.)
Materials with self-diagnostic and self-healing properties
Metal matrix composites and nanocomposites
Metals: ferrous alloys (steel, cast iron)
Metals: non-ferrous alloys (aluminum, copper, nickel, titanium, magnesium, etc.)
Micro-nano materials functionalized
Modeling of the collision of bodies in mechanical systems
Nanomaterials (filler, graphene, etc.)
Non-parametric modeling (neural networks, etc.)
Paintings
Piezoelectric and thermoelectric materials
Polymer matrix composites and nanocomposites
Polymeric nanofibers
Porous materials (foams, sponges, etc)
Self-lubricating materials
Shape memory alloys
Simulation for discrete events models
Simulation for dynamic continuous-time and discrete-time models