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2022 ◽  
Vol 120 ◽  
pp. 105024
Author(s):  
Andreas B. Martinsen ◽  
Anastasios M. Lekkas ◽  
Sébastien Gros

Nanomaterials ◽  
2022 ◽  
Vol 12 (2) ◽  
pp. 188
Author(s):  
Kyuichi Yasui ◽  
Hiroki Itasaka ◽  
Ken-ichi Mimura ◽  
Kazumi Kato

It has been reported that the flexoelectric effect could be dominant in the nanoscale. The discrepancy between theory and experiments on the frequency dependence of the dielectric constant of an ordered assembly of BaTiO3 nanocubes is nearly resolved by assuming the coexistence of flexo- and ferro-electric effects. Although flexoelectric polarizations perpendicular to the applied alternating electric field contribute to the dielectric constant, those parallel to the electric field do not contribute because the magnitude of the flexoelectric polarization does not change due to the mismatch of strain at the interface of the nanocubes. On the other hand, some dielectric response is possible for the ferroelectric component of the polarization parallel to the electric field.


2021 ◽  
Vol 2 ◽  
Author(s):  
Derek A. Paley ◽  
Anthony A. Thompson ◽  
Artur Wolek ◽  
Paul Ghanem

This paper presents a nonlinear control design for the stabilization of parallel and circular motion in a school of robotic fish actuated with internal reaction wheels. The closed-loop swimming dynamics of the fish robots are represented by the canonical Chaplygin sleigh. They exchange relative state information according to a connected, undirected communication graph to form a system of coupled, nonlinear, second-order oscillators. Prior work on collective motion of constant-speed, self-propelled particles serves as the foundation of our approach. However, unlike a self-propelled particle, the fish robots follow limit-cycle dynamics to sustain periodic flapping for forward motion with time-varying speed. Parallel and circular motions are achieved in an average sense without feedback linearization of the agents’ dynamics. Implementation of the proposed parallel formation control law on an actual school of soft robotic fish is described, including system identification experiments to identify motor dynamics and the design of a motor torque-tracking controller to follow the formation torque control. Experimental results demonstrate a school of four robotic fish achieving parallel formations starting from random initial conditions.


2021 ◽  
pp. 303-315
Author(s):  
Vinícius G. Contessoto ◽  
Vinícius M. de Oliveira ◽  
Vitor B. P. Leite

2021 ◽  
Vol 8 ◽  
Author(s):  
Fabio Trovato ◽  
Joanna Trylska ◽  
Peter J. Bond ◽  
Peter G. Wolynes

2021 ◽  
pp. 2105195
Author(s):  
Jamal Abdul Nasir ◽  
Akhtar Munir ◽  
Naveed Ahmad ◽  
Tanveer ul Haq ◽  
Zaibunisa Khan ◽  
...  

2021 ◽  
Vol 8 (10) ◽  
pp. 1677-1685
Author(s):  
Yihui Wang ◽  
Yanfei Liu ◽  
Zhong Wang

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