gas release
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2022 ◽  
Vol 238 ◽  
pp. 111898
Author(s):  
Ángel David García Llamas ◽  
Ning Guo ◽  
Tian Li ◽  
Rikard Gebart ◽  
Kentaro Umeki

Fuel ◽  
2022 ◽  
Vol 312 ◽  
pp. 122960
Author(s):  
Xiaoyuan Jiang ◽  
Shengqiang Yang ◽  
Buzhuang Zhou ◽  
Zhenshan Hou ◽  
Chuansheng Zhang

2022 ◽  
Author(s):  
Nailin Yang ◽  
Fei Gong ◽  
Liang Cheng

Gas therapy has attracted wide attention for the treatment of various diseases. However, a controlled gas release is highly important for biomedical applications. Upconversion nanoparticles (UCNPs) can precisely convert the...


Fuel ◽  
2022 ◽  
Vol 308 ◽  
pp. 121977
Author(s):  
Xiaoling Deng ◽  
Jin Deng ◽  
Renze He ◽  
Xiaoguang Xie ◽  
Yu Xu ◽  
...  
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2021 ◽  
Vol 413 ◽  
pp. 3-18
Author(s):  
Till Glage ◽  
Axel von der Weth ◽  
Frederik Arbeiter ◽  
Daniela Piccioni Koch

The goal of this paper is to introduce an analytical approach for the inversion of nxn solver matrices, which are typically used in Finite Difference Method approximations. In the present case, they are used to solve the Diffusion Equation numerically, since in many physics and engineering fields, partial differential equations cannot be solved analytically. The method presented in this work is primarily formulated for cylindrical coordinates, which are often used in Gas Release Experiments as those described in [8]. However, it is possible to introduce a generalized method, which also allows solutions for Cartesian solvers. The advantage of having the explicit inverse is considerable, since the computational effort is reduced. In this paper we also carry out an investigation on the eigenvalues of the backward and forward solver matrix in order to determine an optimal range for the discretization parameters.


Author(s):  
Alberto Moscatello ◽  
Raffaella Gerboni ◽  
Gianmario Ledda ◽  
Anna Chiara Uggenti ◽  
Arianna Piselli ◽  
...  

ACS Nano ◽  
2021 ◽  
Author(s):  
Xiujuan Jin ◽  
Linlin Li ◽  
Shufang Zhao ◽  
Xiaohong Li ◽  
Kai Jiang ◽  
...  

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