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Dissemination material

Flyer

Poster

Publications

Journals

Conferences

PhD Theses

  • Carlo Gotti, Electrospun hierarchical artificial muscle for soft robotics applications, Dept. of Industrial Engineering, University of Bologna (Italy),  June 15, 2022.

MSc/BSc Theses

  • Dalila Cafagno, Preliminary studies for  a new generation of artificial muscles: Synthesis of a [c2]daisy chain model and characterization into a polymeric matrix, Master’s degree in Chemistry, University of Bologna (Italy), 2022.
  • Niklas Erdmann, Dynamic Modeling of a P(VDF-TrFE-CTFE)-Composite Soft Actuator, Master’s degree in Artificial Intelligence, University of Groningen (The Netherlands), 2022.
  • Leon V. Wierenga, Electromechanical characterization and modelling of Poly(vinylidene fluoride-trifluoroethylene-chlorotrifluoroethylene)-based soft actuators: Films and aligned electrospun nanofiber mats, Master’s degree in Biomedical Engineering, University of Groningen (The Netherlands), 2021.
  • Daniela Metello, Modeling, simulation, and experimental validation of a PVDF-based electro-active actuators, Master’s degree in Biomedical Engineering, University of Coimbra (Portugal), Research performed at the University of Groningen (The Netherlands), 2020.
  • Kenny K. Burawudi, A comparative study of predictive models for Nafion-based IPMC soft actuators, Bachelor’s degree in Artificial Intelligence, University of Groningen (The Netherlands), 2020.
  • S. Della Sala, Synthesis of crown ether derivatives for the construction of molecular machines, Bachelor’s degree in Chemistry, University of Glasgow (UK), Research performed at CNR (Bologna, Italy) within the Erasmus program, 2019.
  • Ruben G. Langius, A predictive model for Nafion-based IPMC soft actuators, Bachelor’s degree in Artificial Intelligence, University of Groningen (The Netherlands), 2019.

Others

  • A. Credi, and V. Balzani, Macchine molecolari, Ithaca – Viaggio nella Scienza, vol. 14, pp. 5-17, 2020.
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This project has received funding from the European Union’s Horizon 2020
Research and Innovation Programme under Grant Agreement no. 801378.