Ultrafine palladium nanoparticles supported on 3D self-supported Ni foam for cathodic dechlorination of florfenicol

Yang, Liming; Chen, Zhenglin; Cui, Dan; Luo, Xubiao; Liang, Bin; Tian, Ling; Wang, Aijie; Luo, Shenglian

doi:10.1016/j.cej.2018.11.099

Cited by 145 publications

(31 citation statements)

References 43 publications

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“…We expect that this study could also be valuable for many HER-related applications such as CO 2 and N 2 capture and utilization [5,53]. Also, it is expected that similar trends could be found in other reactions (e.g., oxygen reduction [54][55][56][57], oxygen evolution [58], and organic oxidation [59][60][61]) and in various types of advanced under-coordinated material systems [62][63][64][65][66][67][68][69][70][71].…”

Section: Discussionsupporting

confidence: 53%

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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Section: Discussionsupporting

confidence: 53%

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

Zhang

Liu

2019

Catalysts

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“…On the other hand, the electronic structure of noble metals could be modulated by non‐precious metal nanoparticles. There were many reports on the preparation of high‐performance catalysts through the galvanic reduction method [13–19] . Nafria et al [19] .…”

Section: Introductionmentioning

confidence: 99%

“…There were many reports on the preparation of high-performance catalysts through the galvanic reduction method. [13][14][15][16][17][18][19] Nafria et al [19] prepared colloidal Pd 2 Sn nanorods and then introduced Au to the surface through the galvanic replacement reaction to form AuÀ Pd 2 Sn. The catalysts showed high catalytic activity in the hydrogenation of alkenes.…”

Section: Introductionmentioning

confidence: 99%

Preparation of PdAuCu/C as a Highly Active Catalyst for the Reduction of 4‐Nitrophenol by Controlling the Deposition of Noble Metals

Duan

Xie

et al. 2020

Chemistry An Asian Journal

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The reasonable control of the dispersion of noble metals is an important topic for heterogeneous catalysts. In this manuscript, PdCu/C, AuCu/C and PdAuCu/C were prepared by the galvanic reduction method to ensure that Pd and Au follow the distribution of Cu nanoparticles. The catalysts were characterized by X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS), transmission electron microscopy (TEM), energy-dispersive spectrometer elemental mappings and lines scans. Both the Pd and Au had very high dispersion no matter whether they were introduced individually or simultaneously. The Pd and Au were distributed mainly on the Cu nanoparticles as evidenced by the energydispersive spectrometer elemental mappings and lines scans. The reduction of 4-nitrophenol was used as a model reaction for the prepared catalysts. PdCu/C and AuCu/C showed high activity for this reaction compared to the literature, and the activity could be further increased by the introduction of Pd and Au in an appropriate ratio at the same time. The normalized reaction rate reached 2.005 s À 1 mM À 1 for the PdAuCu/C-2.0, in which the mole ratio of Pd to Au was 2.0.

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“…In recent years, data-mining has been widely applied for solving problems in chemical, materials, and engineering processes, based on the data collected from either experiments or simulations [14][15][16][17]. In many worldwide pressing issues, such as greenhouse gas capture [18,19], catalytic materials design and optimization [20][21][22][23][24][25][26][27][28][29][30][31], and renewable energy studies [32][33][34][35][36][37][38][39], data-mining has shown predictive power for mining the relationships between the intrinsic and extrinsic properties [40][41][42][43][44][45]. Usually, the mission of a data-mining process is to predict (or output) those variables that are difficult to acquire from experiments/simulations by using the easy variables which can be acquired as the inputs.…”

Section: Introductionmentioning

confidence: 99%

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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Ultrafine palladium nanoparticles supported on 3D self-supported Ni foam for cathodic dechlorination of florfenicol

Cited by 145 publications

References 43 publications

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

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

Preparation of PdAuCu/C as a Highly Active Catalyst for the Reduction of 4‐Nitrophenol by Controlling the Deposition of Noble Metals

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

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