Homogeneous Catalytic Reduction of CO 2 with Silicon‐Hydrides, State of the Art

ChemCatChem ◽  
2018 ◽  
Vol 10 (21) ◽  
pp. 4783-4796 ◽  
Author(s):  
Francisco J. Fernández‐Alvarez ◽  
Luis A. Oro
2021 ◽  
pp. 132322
Author(s):  
Ziqi Wang ◽  
Zhongqing Yang ◽  
Ruiming Fang ◽  
Yunfei Yan ◽  
Jingyu Ran ◽  
...  

2020 ◽  
Vol 7 (4) ◽  
pp. 1014-1029 ◽  
Author(s):  
Qiang Hao ◽  
Chuangwei Liu ◽  
Guohua Jia ◽  
Yuan Wang ◽  
Hamidreza Arandiyan ◽  
...  

This review provides an up-to-date review on Bi-based nitrogen-fixation materials and future directions for the development of new Bi-based nitrogen-fixation materials under ambient conditions.


2008 ◽  
Vol 50 (4) ◽  
pp. 492-531 ◽  
Author(s):  
Sandro Brandenberger ◽  
Oliver Kröcher ◽  
Arno Tissler ◽  
Roderik Althoff

2014 ◽  
Author(s):  
Zakwan Skaf ◽  
Timur Aliyev ◽  
Leo Shead ◽  
Thomas Steffen

2019 ◽  
Vol 119 (19) ◽  
pp. 10916-10976 ◽  
Author(s):  
Lupeng Han ◽  
Sixiang Cai ◽  
Min Gao ◽  
Jun-ya Hasegawa ◽  
Penglu Wang ◽  
...  

2021 ◽  
pp. 146808742110076
Author(s):  
Benjamin Pla ◽  
Pedro Piqueras ◽  
Pau Bares ◽  
André Aronis

To reach the emission limits imposed by governments and reduce the negative impact on the environment, the use of aftertreatment systems has become essential for internal combustion engine (ICE) based powertrains. In particular, the selective catalytic reduction (SCR) system is a widespread aftertreatment technology with high efficiency for [Formula: see text] abatement which shows complex dynamics and requires urea injection as reducing agent. Current urea injection strategies usually rely on the [Formula: see text] emissions feedback. This work presents a model for the on-line simultaneous prediction of [Formula: see text] and [Formula: see text] emissions after the SCR catalyst, allowing the emissions estimation even in conditions of urea injector failure, when it is not possible to rely on the injector feedback signal. The proposed model is based on state of the art on-board after-treatment instrumentation and proposes an extended Kalman filter (EKF) to combine a data-based model and the analysis of sensor signals to provide a reliable estimation of [Formula: see text] and [Formula: see text] slip. The proposed strategy is experimentally assessed in dynamic driving cycles, such as Worldwide harmonised Light vehicles Test Cycle (WLTC) and Standardised Random Test (RTS). The proposed method is evaluated in standard conditions (without failures) and with urea injection failures of 25% and 120% of the nominal injection amount. As a result, the prediction on [Formula: see text] and [Formula: see text] slip has been improved in all injection failure conditions, by an overall average of 47.8% and 61.8%, respectively, when compared to state-of-the-art control oriented models (physically based zero dimensional model or data-based).


Author(s):  
T. A. Welton

Various authors have emphasized the spatial information resident in an electron micrograph taken with adequately coherent radiation. In view of the completion of at least one such instrument, this opportunity is taken to summarize the state of the art of processing such micrographs. We use the usual symbols for the aberration coefficients, and supplement these with £ and 6 for the transverse coherence length and the fractional energy spread respectively. He also assume a weak, biologically interesting sample, with principal interest lying in the molecular skeleton remaining after obvious hydrogen loss and other radiation damage has occurred.


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