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Feng Deng

Researcher at Chinese Academy of Sciences

Publications -  418
Citations -  17847

Feng Deng is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Catalysis & Solid-state nuclear magnetic resonance. The author has an hindex of 67, co-authored 395 publications receiving 14676 citations. Previous affiliations of Feng Deng include École nationale supérieure de chimie de Lille & Wuhan University of Science and Technology.

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Targeted Synthesis of a Porous Aromatic Framework with High Stability and Exceptionally High Surface Area

TL;DR: A strategy is presented that has enabled the synthesis and properties of a porous aromatic framework PAF-1, which has a Langmuir surface area of 7100 m g, and outperforms highly porous MOFs in thermal and hydrothermal stabilities.
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Gas storage in porous aromatic frameworks (PAFs)

TL;DR: A series of porous aromatic frameworks (PAFs) were synthesized via a Yamamoto-type Ullmann reaction containing quadricovalent Si (PAF-3) and Ge (PFAF-4) as mentioned in this paper, which exhibit high surface areas and excellent adsorption ability to hydrogen, methane and carbon dioxide.
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Brønsted/Lewis acid synergy in dealuminated HY zeolite: a combined solid-state NMR and theoretical calculation study.

TL;DR: The Brønsted/Lewis acid synergy in dealuminated HY zeolite has been studied using solid-state NMR and density function theory (DFT) calculation and the 1H double quantum magic-angle spinning (DQ-MAS) NMR results have revealed the detailed spatial proximities of Lewis and BrøNsted acid sites.
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Highly Efficient Heterogeneous Hydroformylation over Rh-Metalated Porous Organic Polymers: Synergistic Effect of High Ligand Concentration and Flexible Framework.

TL;DR: A series of diphosphine ligand constructed porous polymers with stable and flexible frameworks demonstrate even better catalytic performance in the hydroformylations than the analogue homogeneous catalysts.
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Metabonomic studies of human hepatocellular carcinoma using high-resolution magic-angle spinning 1H NMR spectroscopy in conjunction with multivariate data analysis.

TL;DR: The results indicated that HRMAS combined with PCA offers a useful tool for understanding the tumor biochemistry and classification of liver tumor tissues; such tool may also have some potential for liver tumor diagnosis and prognosis even when some other disease processes are present.