Conformational switch in the crystal states of a calix[4]arene

CrystEngComm ◽  
2021 ◽  
Author(s):  
Saber Mirzaei ◽  
Sergey V. Lindeman ◽  
Denan Wang ◽  
M. Saeed Mirzaei ◽  
Qadir K. Timerghazin

Two distinct conformational switches were observed in the crystals of calix[4]arene molecule: closed-I crystals transform to the open polymorph spontaneously; temperature induced reversible transformation of closed-I to a closed-II polymorph.

1995 ◽  
Vol 2 (4) ◽  
pp. 377-416 ◽  
Author(s):  
Kazuhiro Saitou ◽  
Mark J. Jakiela

A question is posed on how a particular subassembly sequence is generated in randomized assembly. An extended design of mechanical conformational switches [16] is proposed that can encode several subassembly sequences. A particular subassembly sequence is generated due to conformational changes of parts during one-dimensional randomized assembly. The optimal subassembly sequence that maximizes the yield of a desired assembly can be found via genetic search over a space of parameterized conformational switch designs, rather than a space of subassembly sequences. The resulting switch design encodes the optimal subassembly sequence so that the desired assemblies are put together only in the optimal sequence. The results of genetic search and rate equation analyses reveal that the optimal subassembly sequence depends on the initial concentration of parts and the defect probabilities during randomized assembly. The results indicate that abundant parts and parts with high defect probabilities should be assembled earlier rather than later.


1995 ◽  
Vol 2 (2) ◽  
pp. 129-156 ◽  
Author(s):  
Kazuhiro Saitou ◽  
Mark J. Jakiela

Bacteriophage viruses spontaneously self-assemble in the presence of their component parts (certain protein molecules). It is believed that conformational switches, interacting chemical bonding sites that allow tentative incorrect bonds, facilitate this randomized assembly process. A one-dimensional conformational switch is proposed and used to study the randomized assembly of mechanical parts. A genetic algorithm is used to search the space of parameterized switch designs to maximize the rate of a desired assembly.


2005 ◽  
Author(s):  
David R. Schubert ◽  
Yuanbin Liu ◽  
Roland Riek

Actuators ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 103
Author(s):  
Guolong Zhang ◽  
Guilin Yang ◽  
Yimin Deng ◽  
Tianjiang Zheng ◽  
Zaojun Fang ◽  
...  

The soft robots actuated by pressure, cables, thermal, electrosorption, combustion and smart materials are usually faced with the problems of poor portability, noise, weak load capacity, small deformation and high driving voltages. In this paper, a novel pneumatic generator for soft robots based on the gas-liquid reversible transition is proposed, which has the advantages of large output force, easy deformation, strong load capacity and high flexibility. The pressure of the pneumatic generator surges or drops flexibly through the reversible transformation between liquid and gas phase, making the soft actuator stretch or contract regularly, without external motors, compressors and pressure-regulating components. The gas-liquid reversible-transition actuation process is modeled to analyze its working mechanism and characteristics. The pressure during the pressurization stage increases linearly with a rate regulated by the heating power and gas volume. It decreases exponentially with the exponential term as a quadratic function of time at the fast depressurization stage, while with the exponential term as a linear function of time at the slow depressurization stage. The drop rate can be adjusted by changing the gas volume and cooling conditions. Furthermore, effectiveness has been verified through experiments of the prototype. The pressure reaches 25 bar with a rising rate of +3.935 bar/s when 5 mL weak electrolyte solution is heated at 800 W, and the maximum depressurization rate in air cooling is –3.796 bar/s. The soft finger actuated by the pneumatic generator can bend with an angular displacement of 67.5°. The proposed pneumatic generator shows great potential to be used for the structure, driving and sensing integration of artificial muscles.


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