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Institution

ExxonMobil

CompanyIrving, Texas, United States
About: ExxonMobil is a company organization based out in Irving, Texas, United States. It is known for research contribution in the topics: Catalysis & Polymerization. The organization has 16969 authors who have published 23758 publications receiving 535713 citations. The organization is also known as: Exxon Mobil Corporation & Exxon Mobil Corp..
Topics: Catalysis, Polymerization, Polymer, Hydrocarbon, Alkyl


Papers
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Journal ArticleDOI
Stuart L. Soled1

105 citations

Journal ArticleDOI
TL;DR: To simulate marine biodegradation of dispersed oil at dilute concentrations commonly encountered in the field, laboratory studies should be conducted at similarly low hydrocarbon concentrations.

105 citations

Journal ArticleDOI
TL;DR: The mechanism of carbon-carbon bond formation in transition-metal-catalyzed olefin polymerization reactions is though to be a {beta}-migratory insertion reaction occurring via an intermediate alkyl OE complex as discussed by the authors.
Abstract: The mechanism of carbon-carbon bond formation in transition-metal-catalyzed olefin polymerization reactions is though to be a {beta}-migratory insertion reaction occurring via an intermediate alkyl olefin complex, 1 {yields} 2 {yields} 1{prime} (the Cossee-Arlman mechanism). Although the stepwise polymerization of ethylene (and other alkenes) in homogeneous systems has been studied spectroscopically, intermediate alkyl ethylene complexes have not been detected. Thus, activation energies for the {beta}-migratory insertion reactions of alkyl olefin complexes in polymerizing systems are unknown. They report here spectroscopic detection of an intermediate cobalt alkyl ethylene complex during ethylene polymerization by a Co(III) catalyst together with a kinetic study which allows estimation of {Delta}G{double dagger} for the {beta}-migratory insertion reaction.

105 citations

Patent
13 Dec 1993
TL;DR: In this paper, a system and method for identifying a vehicle for the purpose of displaying diagnostic information to the driver is presented, where each vehicle includes a transponder that transmits an encoded character sequence that is unique to that vehicle.
Abstract: The present invention is a system and method for identifying a vehicle for the purpose of displaying diagnostic information to the driver. Each vehicle includes a transponder that transmits an encoded character sequence that is unique to that vehicle. In this way vehicle diagnostic measurements made at the establishment entrance can be associated with the vehicle, and displayed to the customer when the vehicle is recognized again at a service area.

105 citations

Journal ArticleDOI
TL;DR: In this paper, the authors investigate the trap-free Sierpinski gaskets with randomly distributed traps and show that the short-time behavior and the long-time tails of the survival probability are governed by the spectral dimension.
Abstract: We investigate the trapping of a random walker in fractal structures (Sierpinski gaskets) with randomly distributed traps. The survival probability is determined from the number of distinct sites visited in the trap-free fractals. We show that the short-time behavior and the long-time tails of the survival probability are governed by the spectral dimension∼d. We interpolate between these two limits by introducing a scaling law. An extension of the theory, which includes a continuous-time random walk on fractals, is discussed as well as the case of direct trapping. The latter case is shown to be governed by the fractal dimension∼d.

105 citations


Authors

Showing all 16987 results

NameH-indexPapersCitations
David A. Weitz1781038114182
Avelino Corma134104989095
Peter Hall132164085019
James A. Dumesic11861558935
Robert H. Crabtree11367848634
Costas M. Soukoulis10864450208
Nicholas J. Turro104113153827
Edwin L. Thomas10460640819
Israel E. Wachs10342732029
Andrew I. Cooper9938934700
Michael J. Zaworotko9751944441
Enrique Iglesia9641631934
Yves J. Chabal9451933820
George E. Gehrels9245430560
Ping Sheng9059337141
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20234
202236
2021302
2020340
2019366
2018438