SKU: 46721345905

Y-N-C SAC

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Description

Y-N-C SACProduct Name Name: Y N C SAC Product Overview Monatomic catalysts are a class of catalysts in which isolated individual atoms are uniformly dispersed on a carrier without any form of interaction between each individual atom. The active metal in a monatomic catalyst is uniformly dispersed as individual atoms on a carrier, forming a unique coordination environment with the surrounding atoms. Common types of monoatomic catalysts with single atoms include

Product Name

Name:Y-N-C SAC


Product Overview 

Monatomic catalysts are a class of catalysts in which isolated individual atoms are uniformly dispersed on a carrier without any form of interaction between each individual atom. The active metal in a monatomic catalyst is uniformly dispersed as individual atoms on a carrier, forming a unique coordination environment with the surrounding atoms. Common types of monoatomic catalysts with single atoms include noble metals such as Pt, Pd, Au, Ir, Ag, Rh and non-precious metals such as Fe, Co, Ni, Cu. Commonly used carriers are metals and metal oxides, such as Fe2O3, TiO2 and Al2O3, and carbon-based carriers, such as carbon nanospheres, carbon nanofibres, graphene, metal-organic framework-derived carbon, covalent triazine frameworks, carbon nitride, and phthalocyanine-derived carbon. Preparation methods include high-temperature pyrolysis, impregnation, atomic layer deposition, metal-organic framework derived and electrochemical deposition. The single-atom catalysts provided by Xianfeng are obtained by high-temperature pyrolysis of nitrogen-containing carbon organics (e.g., PVP) to obtain amorphous nitrogen-doped carbon carriers, with the metal atoms using nitrates or chlorides as precursors.


 

Technical Parameter  

 

Diameter:0.2-4μm(TEM:/span>

Appearance:Black powder

C content:65-75wt%(XPS:/span>

N content:10-25wt%(XPS:/span>

Y content:3-5wt%(XPS:/span>

Note: This data is a single measurement data and is allowed to float between different batches.


 

Product Features

 

High activity: Due to the high dispersion of metal atoms on the carrier, each metal atom can become an active centre, thus increasing the activity of the catalyst. 

High selectivity: the regulation of reaction selectivity can be achieved by controlling the coordination environment of the metal atoms and the nature of the carrier. 

High stability: the strong interaction between the metal atoms and the carrier can improve the stability of the catalyst. 


Application Fields

Energy: Single-atom catalysts can be used to improve the efficiency of the oxygen reduction reaction in fuel cells, thereby enhancing the performance of the cells. It can also be used in electrolysis of water to produce hydrogen to effectively promote hydrogen precipitation reaction, reduce the reaction overpotential, and improve the efficiency of hydrogen production. 

Environmental protection: monatomic catalysts can be used to degrade organic pollutants. In wastewater treatment, iron monatomic catalysts can be used to catalyse the degradation of organic pollutants such as phenols and dyes.

 

Chemical production: monatomic catalysts help to achieve the hydroconversion of nitrogen under mild conditions and improve the reaction rate and selectivity of ammonia synthesis. 

Petrochemicals: monatomic catalysts can effectively remove sulphur compounds from petroleum products and reduce the sulphur content of oil. 

Fine Chemicals: Metal monatomic catalysts can catalyse specific organic reactions for the synthesis of drug molecules, improving reaction selectivity and yield.


Related Information

Sealed, avoid light, and keep dry at room temperature. Expiry date: six months.

Please e-mail for the detailed characterization data.

E-mail:[email protected]


 

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SKU: 46721345905

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Verified Purchase
Cory P.
Omaha, US
★★★★★ 5
Dive into Algorithms is more like eating a Parfait than trying understand algorithms!
Format: Paperback
Seriously though great writing and explanation along with great history lessons. Also highly recommend for anyone working in the data science field.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 3, 2021
F
Verified Purchase
Frank Gonzalez
New York, US
★★★★★ 3
Ok content, not great explanations (2.5 our of 5 stars)
Format: Paperback
I found the contents of this book to be simply ok: either too simple, or the more complicated algorithms and concepts would not be as carefully explained as they should have been. It is not a terrible book, but it feels as though the author did not go over many drafts/iterations of this work.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 7, 2024
I
Ira Laefsky
Belleville, US
★★★★★ 5
An Excellent Self-Discovery Approach to Learning Algorithms
Format: Paperback
I have an Ivy League Master's Degree in Computer Science although it was accomplished 35 years ago. Of course, I had to complete an ACM-type course in Algorithms and Data Structures on the undergraduate and graduate level and managed to by rote accomplish enough to satisfy these courses. But until seeing this great book I never had the feeling of gaining an understanding of the approach to learning and building algorithms and the extent to which it is an important component of all programs. By a journey of guided self-discovery the author shows, not only the necessity of algorithms and their canonical forms, but a path to understanding the construction of algorithms to accomplish common and not so common practical problems. These range from the simple to understand, e.g. implementing Russian Peasant Multiplication, to advanced and up to date topics like Machine Learning. The highest praise I can give this book is that as a journey of guided self-discovery it produces an understanding in the reader of the process of constructing and understanding these algorithms and their place in all programming.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 7, 2021
S
Susan
Louisville, US
★★★★★ 5
Easy to understand, makes algorithms exciting again!
Format: Kindle
Dive Into Algorithms speaks to me directly as a very intrepid beginner myself. I was given another "learn Python" book several years ago and it languishes on a shelf undisturbed to this day. Dive Into Algorithms had me hooked by the first parfait recipe. Mr. Tuckfield explains concepts in such a way that any student can learn something. The history, physics, cooking, and math lessons teach us that algorithms are everywhere, and they're not big scary 'big data' monsters out to ruin us. Instead, they're tools to help understand the world around us. This book has made me excited about programming again. Thank you.
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Reviewed in the United States on January 28, 2021
M
MF
Whiting, US
★★★★★ 1
Don't buy. Author's okay effort to publish what seems like a rough draft.
Format: Paperback
Poorly written, unnecessarily complex wording to code introduction/explanations, and path to solutions (cover to cover of the book) are the most bizarre of choices. Excessively wordy and dramatic (i.e. "let me tell you the entire history of human kind before we dive into anything programming/problem solving related." ). Either he's new to publishing or programming, or both. PASS.
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Reviewed in the United States on April 26, 2022

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