scholarly journals Solving the quantum dimer and six-vertex models one electric field line at a time

2019 ◽  
Vol 99 (24) ◽  
Author(s):  
Jonah Herzog-Arbeitman ◽  
Sebastian Mantilla ◽  
Inti Sodemann
2014 ◽  
Vol 789 ◽  
pp. 32-35
Author(s):  
Yuan Yuan Huang ◽  
Shu Liang Liu ◽  
Bin Sun ◽  
Yun Ze Long

Using patterned conductive and insulating collection devices, fibrous patterns from polyvinyl pyrrolidone were fabricated by electrospinning. Considering that the electrospun fibers tend to deposit along the direction of electric field line, when conductive patterned template is used as collector during electrospinning, the as-spun fibers tend to assemble onto the conductive grids, whereas the dropping fibers prefer to avoid insulation grid by concentrating toward the surface of the Al foil when an insulating grid based on Al foil is used as collector.


1996 ◽  
Vol 64 (6) ◽  
pp. 714-724 ◽  
Author(s):  
Alan Wolf ◽  
Stephen J. Van Hook ◽  
Eric R. Weeks

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Annemiek M. Hogenes ◽  
Cornelis H. Slump ◽  
Gerben A. te Riet o.g. Scholten ◽  
Martijn R. Meijerink ◽  
Jurgen J. Fütterer ◽  
...  

2020 ◽  
Vol 7 ◽  
Author(s):  
Yixin Xie ◽  
Chitra B. Karki ◽  
Dan Du ◽  
Haotian Li ◽  
Jun Wang ◽  
...  

The ongoing outbreak of COVID-19 has been a serious threat to human health worldwide. The virus SARS-CoV-2 initiates its infection to the human body via the interaction of its spike (S) protein with the human Angiotensin-Converting Enzyme 2 (ACE2) of the host cells. Therefore, understanding the fundamental mechanisms of how SARS-CoV-2 S protein receptor binding domain (RBD) binds to ACE2 is highly demanded for developing treatments for COVID-19. Here we implemented multi-scale computational approaches to study the binding mechanisms of human ACE2 and S proteins of both SARS-CoV and SARS-CoV-2. Electrostatic features, including electrostatic potential, electric field lines, and electrostatic forces of SARS-CoV and SARS-CoV-2 were calculated and compared in detail. The results demonstrate that SARS-CoV and SARS-CoV-2 S proteins are both attractive to ACE2 by electrostatic forces even at different distances. However, the residues contributing to the electrostatic features are quite different due to the mutations between SARS-CoV S protein and SARS-CoV-2 S protein. Such differences are analyzed comprehensively. Compared to SARS-CoV, the SARS-CoV-2 binds with ACE2 using a more robust strategy: The electric field line related residues are distributed quite differently, which results in a more robust binding strategy of SARS-CoV-2. Also, SARS-CoV-2 has a higher electric field line density than that of SARS-CoV, which indicates stronger interaction between SARS-CoV-2 and ACE2, compared to that of SARS-CoV. Key residues involved in salt bridges and hydrogen bonds are identified in this study, which may help the future drug design against COVID-19.


2018 ◽  
Vol 176 ◽  
pp. 01032
Author(s):  
Yan Jiangbao ◽  
Zhou Lei ◽  
Zhu Feng ◽  
Xiangyu Tan ◽  
Zhang Changsheng

Electrical capacitance tomography (ECT) technology is a process tomography, which is based on medical CT technology and develops together with computer and sensor technology. The measured capacitances by ECT system are usually normalized at the high and low permittivity for image. Parallel normalization model is commonly used during normalization process, which assumes the distribution of materials in parallel. And thus, the normalized capacitance is a linear function of measured capacitance. The usage of series normalization model results in the normalized capacitance as a nonlinear function of measured capacitance. The research on parallel, series normalization model and hybrid normalization model. In this paper, we propose a method based on the center electric field line to determine the model weighting factor for the hybrid normalization model. The simulation and static test results show that the reconstructed image quality is improved obviously by the hybrid normalization model based on the center electric field line.


2020 ◽  
Author(s):  
Esmeralda Campos ◽  
Genaro Zavala ◽  
Kristina Zuza ◽  
Jenaro Guisasola

2014 ◽  
Vol 38 (12) ◽  
pp. 126003 ◽  
Author(s):  
Jian-Qiang Fu ◽  
Yu-Lan Li ◽  
Lan Zhang ◽  
Li-Bo Niu ◽  
Hao Jiang ◽  
...  

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