On the Maximal Output Energy Density of Nanogenerators

ACS Nano ◽  
2019 ◽  
Vol 13 (11) ◽  
pp. 13257-13263 ◽  
Author(s):  
Jingjing Fu ◽  
Xin Xia ◽  
Guoqiang Xu ◽  
Xiaoyi Li ◽  
Yunlong Zi
2020 ◽  
Vol 7 (24) ◽  
pp. 2001757
Author(s):  
Jingjing Fu ◽  
Guoqiang Xu ◽  
Changheng Li ◽  
Xin Xia ◽  
Dong Guan ◽  
...  

2007 ◽  
Vol 22 (3) ◽  
pp. 644-648 ◽  
Author(s):  
A. Han ◽  
Y. Qiao

In a hydrophobic zeolite, the infiltration and defiltration of water can be controlled by adjusting external pressure, and therefore the system behaves as a “liquid spring.” Since the hysteresis of sorption isotherm is negligible and the working pressure is thermally controllable, volume memory devices can be developed based on this phenomenon. With the addition of sodium chloride, both infiltration and defiltration pressures increase, which should be attributed to the cation exchange. The temperature sensitivity of the system increases with the electrolyte concentration, beneficial to improving the output energy density.


Nano Energy ◽  
2021 ◽  
pp. 106891
Author(s):  
Zeyuan Cao ◽  
Zibo Wu ◽  
Rong Ding ◽  
Shiwen Wang ◽  
Yao Chu ◽  
...  

2021 ◽  
Author(s):  
Guangwei Shao ◽  
Chuanli Su ◽  
Jianna Li ◽  
Yaoli Huang ◽  
Qinghua Yu ◽  
...  

2021 ◽  
pp. 100649
Author(s):  
Guangwei Shao ◽  
Chuanli Su ◽  
Jianna Li ◽  
Yaoli Huang ◽  
Qinghua Yu ◽  
...  

2020 ◽  
Vol 655 ◽  
pp. 185-198
Author(s):  
J Weil ◽  
WDP Duguid ◽  
F Juanes

Variation in the energy content of prey can drive the diet choice, growth and ultimate survival of consumers. In Pacific salmon species, obtaining sufficient energy for rapid growth during early marine residence is hypothesized to reduce the risk of size-selective mortality. In order to determine the energetic benefit of feeding choices for individuals, accurate estimates of energy density (ED) across prey groups are required. Frequently, a single species is assumed to be representative of a larger taxonomic group or related species. Further, single-point estimates are often assumed to be representative of a group across seasons, despite temporal variability. To test the validity of these practices, we sampled zooplankton prey of juvenile Chinook salmon to investigate fine-scale taxonomic and temporal differences in ED. Using a recently developed model to estimate the ED of organisms using percent ash-free dry weight, we compared energy content of several groups that are typically grouped together in growth studies. Decapod megalopae were more energy rich than zoeae and showed family-level variability in ED. Amphipods showed significant species-level variability in ED. Temporal differences were observed, but patterns were not consistent among groups. Bioenergetic model simulations showed that growth rate of juvenile Chinook salmon was almost identical when prey ED values were calculated on a fine scale or on a taxon-averaged coarse scale. However, single-species representative calculations of prey ED yielded highly variable output in growth depending on the representative species used. These results suggest that the latter approach may yield significantly biased results.


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