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Institution

Beijing Institute of Petrochemical Technology

EducationBeijing, China
About: Beijing Institute of Petrochemical Technology is a education organization based out in Beijing, China. It is known for research contribution in the topics: Catalysis & Corrosion. The organization has 2468 authors who have published 1937 publications receiving 19270 citations.


Papers
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Journal ArticleDOI
M. Ablikim1, M. N. Achasov2, M. N. Achasov3, Xiaocong Ai1  +407 moreInstitutions (59)
TL;DR: Based on a sample of eta' mesons produced in the radiative decay J/psi -> gamma eta´ in 1.31 x 10(9) events collected with the BESIII detector, the decay eta'' -> omega e(+)e(-) is observed for the first time, with a statistical significance of 8 sigma.
Abstract: Based on a sample of eta' mesons produced in the radiative decay J/psi -> gamma eta' in 1.31 x 10(9) J/psi events collected with the BESIII detector, the decay eta' -> omega e(+)e(-) is observed for the first time, with a statistical significance of 8 sigma. The branching fraction is measured to be B(eta' -> omega e(+)e(-)) = (1.97 +/- 0.34(stat) +/- 0.17(syst)) x 10(-4), which is in agreement with theoretical predictions. The branching fraction of eta' -> omega gamma is also measured to be (2.55 +/- 0.03(stat) +/- 0.16(syst)) x 10(-2), which is the most precise measurement to date, and the relative branching fraction B(eta' -> omega e(+)e(-))/B(eta' -> omega gamma) is determined to be (7.71 +/- 1.34(stat) +/- 0.54(syst)) x 10(-3).

11 citations

Journal ArticleDOI
TL;DR: In this article, the authors derived the partial molar excess enthalpies at infinite dilution (H - i E, ∞ ) were derived from the T dependence of the l n γ i ∞.

11 citations

Journal ArticleDOI
TL;DR: In this article, the influence of bend structures on high-temperature flow of gas explosion in laneways/tubes was studied and it was shown that the bend structure has little influence on high temperature flow before the bend and has relatively great influence on that after the bend.

11 citations

Journal ArticleDOI
TL;DR: In this paper, a novel structured hydrotalcite-based film was synthesized on TC4 titanium alloy by facile hydrothermal method, and then modified with graphene and oleylamine.

11 citations

Journal ArticleDOI
TL;DR: In this article, a composite oxidized layer formed on a nanocrystallized 2618 aluminum alloy surface was prepared by a two-step method, the micro-arc oxidation (MAO) process and a pretreatment of the ultrasonic cold forging technology (UCFT).
Abstract: A composite oxidized layer formed on a nanocrystallized 2618 aluminum alloy surface was prepared by a two-step method—the micro-arc oxidation (MAO) process and a pretreatment of the ultrasonic cold forging technology (UCFT). The tribological properties of samples were investigated under 25, 80, 160, and 200 °C by an MST-400 high temperature tribometer. The wear performance of MAO + UCFT aluminum alloy drilling rods was evaluated in the field drilling experiment. The morphologies and microstructures were measured by the scanning electron microcopy and optical microscope. The results show that UCFT treatment promotes the formation of α­Al2O3 phase, reduces the number of micro pores, and improves the hardness of MAO coatings. Both friction coefficients and wear rates of untreated and UCFT samples increase with the rise of temperature, but those of the UCFT samples are lower at the same temperature. The friction coefficients and wear rates of MAO and MAO + UCFT samples decrease with the rise of temperature, but those of the MAO + UCFT samples are lower at the same temperature. The main wear mechanism of untreated samples is severe adhesive wear, plastic deformation, and slight abrasive wear. Whereas, that of UCFT samples is some degree of adhesive wear, abrasive wear, and plastic deformation. Additionally, oxidative wear occurred on the untreated and UCFT samples. The main wear mechanism of MAO samples and MAO + UCFT samples is mild adhesive wear and abrasive wear.

11 citations


Authors

Showing all 2499 results

NameH-indexPapersCitations
J. S. Lange1602083145919
Chao Zhang127311984711
S. J. Chen116155962804
Y. Ban104134649897
Min Zhang85154834853
Shan Jin8336537419
Y. J. Mao8182929089
Lei Zhang78148530058
Jialun Ping7367622314
Li Li6785522796
D. Y. Wang6463718612
M. Qi5846619175
J. G. Messchendorp5459312498
Xiangming He5248010801
Nasser Kalantar-Nayestanaki5169111500
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202310
202293
2021264
2020219
2019211
2018173