University of Rijeka, Faculty of Engineering and Centre for Micro- and Nanosciences and Technologies

|University of Rijeka, Faculty of Engineering and Centre for Micro- and Nanosciences and Technologies

Reachability analysis and simulation of a forearm rehabilitation device

Analysis,Biomedical,Simulation

Experimental study of the effect of plectrum parameters on the performances of plucked piezoelectric energy harvesters

Design method,Experimentation,Piezo-electric,Sensor

Nanotribological characterization of an X39CrMo17-1 steel thin-film via measurement-based machine learning methods

Artificial intelligence,Friction,Steel

Kinematic characterization and validation of an upper limb rehabilitation device

Analysis,Kinematic,Mechatronic,Model,Simulation

Experimental characterisation of performances of optimized piezoelectric energy harvesters

Design method,Experimentation,Optimisation,Piezo-electric

Multivariate AI-based predictive model of nanoscale friction

Artificial intelligence,Friction,Model,Predictive

A molecular dynamics study of nanometric scale friction

Atomic force microscopy (AFM),Friction,Modelling

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