Synthesis of hydrophobic carbon nanotubes/reduced graphene oxide composite films by flash light irradiation

Wang, Kai; Pang, Jinbo; Li, Liwei; Zhou, Shengzhe; Li, Yuhao; Zhang, Tiezhu

doi:10.1007/s11705-018-1705-z

Cited by 157 publications

(72 citation statements)

References 39 publications

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“…Similar studies can be found in recent References [58][59][60][61]. Due to the complexity of the structural information and the electronic structures of the periodic table elements [62][63][64][65][66][67][68][69][70][71], a challenge of their data-mining is the definition of suitable descriptors as the model inputs. In the past decades, there was a large number of descriptors that have been applied for the machine learning process of chemical and materials systems, such as bond length, bond angle, and group contribution analysis [72].…”

Section: Mining the Trends And Properties In Chemistry And Materialssupporting

confidence: 62%

Data-Mining for Processes in Chemistry, Materials, and Engineering

Zhang

Zhao

2019

Processes

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With the rapid development of machine learning techniques, data-mining for processes in chemistry, materials, and engineering has been widely reported in recent years. In this discussion, we summarize some typical applications for process optimization, design, and evaluation of chemistry, materials, and engineering. Although the research and application targets are various, many important common points still exist in their data-mining. We then propose a generalized strategy based on the philosophy of data-mining, which should be applicable for the design and optimization targets for processes in various fields with both scientific and industrial purposes.

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Section: Mining the Trends And Properties In Chemistry And Materialssupporting

confidence: 62%

Data-Mining for Processes in Chemistry, Materials, and Engineering

Zhang

Zhao

2019

Processes

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“…During recent years, carbon-related nanomaterials has become popular due to their unique catalytic, mechanical, and electric properties [23][24][25][26][27][28]. In particular, carbon nitrite has shown interesting properties which enable it to form a thermodynamically-stable under-coordinated single-metal site for catalysis [29,30].…”

Section: Introductionmentioning

confidence: 99%

Non-Monotonic Trends of Hydrogen Adsorption on Single Atom Doped g-C3N4

Zhang

Liu

2019

Catalysts

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To estimate the reaction free energies of the hydrogen evolution reaction (HER) on under-coordinated metallic sites, density function theory (DFT) calculations are usually employed to calculate the hydrogen adsorption energy with an “only-one-hydrogen-adsorption” model, assuming that adsorption with one hydrogen is the most thermodynamically favorable situation during catalysis. In this brief report, we show that on many single atom sites, adsorption of more than one hydrogen is sometimes even more thermodynamically favorable, with the presence of two or three hydrogens resulting in lower adsorption energies. These interesting non-monotonic trends indicate that modeling HER and other hydrogen-related reactions on under-coordinated sites should also consider the numbers of hydrogen being adsorbed at the same site, otherwise the results could deviate from real experimental situations.

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“…10 Flow injection analysis coupled with amperometric detection (FIA-ED) method for BrH detection was established by Mika et al 11 Kutluay et al fabricated an electrochemical sensor based on nickel nanoparticles functionalized MWCNT at platinum electrode for BrH determination. 12 Nanomaterials, which have electrical and physical properties that are not available in traditional materials, such as volumetric effects, surface effects, quantum size effects, macroscopic quantum tunneling effects and dielectric connement effects, have been widely used in optoelectronics, 13 power industry, 14 energy conversion and storage devices, 15 biomedical and environmental protection, 16 electrochemical sensors, 17 etc.…”

Section: Introductionmentioning

confidence: 99%