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Rodney S. Ruoff

Bio: Rodney S. Ruoff is an academic researcher from Ulsan National Institute of Science and Technology. The author has contributed to research in topics: Graphene & Graphene oxide paper. The author has an hindex of 164, co-authored 666 publications receiving 194902 citations. Previous affiliations of Rodney S. Ruoff include Texas State University & North Carolina State University.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors performed ab initio calculations on the liquid gallium-hydrogen system at 100 °C. Gallium was found to interact with both free hydrogen atoms and H2, transferring charge in the process.
Abstract: Ab initio calculations have been performed on the liquid gallium–hydrogen system at 100 °C. Gallium was found to interact with both free hydrogen atoms and H2, transferring charge in the process. F...

7 citations

Proceedings ArticleDOI
01 Jan 2004
TL;DR: In this paper, a hybrid nano-electromechanical system for study of the mechanics of nanostructures is presented, which has a testing platform based on a deep reactive ion-etched high aspect ratio MEMS device.
Abstract: We present a hybrid nano-electromechanical system for study of the mechanics of nanostructures. The system has a testing platform based on a deep reactive ion-etched high aspect ratio MEMS device. A new approach has been developed with top-down manufacturing of the micro-device and bottom-up post-fabrication assembly of samples (nanostructures) to be tested. A process that minimizes chemical or physical damage of the sample is used to integrate suspended nanowires/nanotubes into the system. The system provides nanoscale resolution of displacement and force. The device is used in an SEM and is being tested for in situ experiments on various nanowires or nanotubes.Copyright © 2004 by ASME

7 citations

Posted Content
TL;DR: In this article, a very low pressure CVD, less than 50 mTorr, and very low precursor flow rates using methane as the source of carbon on the inside of copper foil enclosures at high temperature, around 1000 oC.
Abstract: Graphene growth by chemical vapor deposition has received a lot of attention recently owing to the ease with which large area films can be grown, but growth of large domain or equivalently large grain size has not been reported yet. In this brevia, we report on a CVD process that yields graphene with domains of hundreds of micrometers, by very low pressure CVD, less than 50 mTorr, and very low precursor flow rates using methane as the source of carbon on the inside of copper foil enclosures at high temperature, around 1000 oC. The carrier mobility for the large-domain graphene films is up to 21,000 cm2/Vs.

7 citations

Patent
22 Nov 1995
TL;DR: An ice, street or roller hockey stick (2) having a stick blade that prevents excessive wear is defined in this article, where a plurality of rods or members are inserted in the bottom edge of the stick's blade.
Abstract: An ice, street or roller hockey stick (2) having a stick blade (4) that prevents excessive wear The stick includes a plurality of rods or members (12) inserted in the bottom edge (8) of the stick's blade (4) The rods or members (12) are made of a material exhibiting higher wear resistance characteristics than the material used to form the bottom edge (8) of the blade (4)

6 citations

Journal ArticleDOI
TL;DR: In this article, the abnormal grain growth of polycrystalline iron (Fe) foil up to grains of 1.2 cm in size was investigated, where the number of nucleus/nuclei and maximum grain size were highly affected by the plastic deformation conditions as they cause different stored energies in the foils.

6 citations


Cited by
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Journal ArticleDOI
TL;DR: Owing to its unusual electronic spectrum, graphene has led to the emergence of a new paradigm of 'relativistic' condensed-matter physics, where quantum relativistic phenomena can now be mimicked and tested in table-top experiments.
Abstract: Graphene is a rapidly rising star on the horizon of materials science and condensed-matter physics. This strictly two-dimensional material exhibits exceptionally high crystal and electronic quality, and, despite its short history, has already revealed a cornucopia of new physics and potential applications, which are briefly discussed here. Whereas one can be certain of the realness of applications only when commercial products appear, graphene no longer requires any further proof of its importance in terms of fundamental physics. Owing to its unusual electronic spectrum, graphene has led to the emergence of a new paradigm of 'relativistic' condensed-matter physics, where quantum relativistic phenomena, some of which are unobservable in high-energy physics, can now be mimicked and tested in table-top experiments. More generally, graphene represents a conceptually new class of materials that are only one atom thick, and, on this basis, offers new inroads into low-dimensional physics that has never ceased to surprise and continues to provide a fertile ground for applications.

35,293 citations

01 May 1993
TL;DR: Comparing the results to the fastest reported vectorized Cray Y-MP and C90 algorithm shows that the current generation of parallel machines is competitive with conventional vector supercomputers even for small problems.
Abstract: Three parallel algorithms for classical molecular dynamics are presented. The first assigns each processor a fixed subset of atoms; the second assigns each a fixed subset of inter-atomic forces to compute; the third assigns each a fixed spatial region. The algorithms are suitable for molecular dynamics models which can be difficult to parallelize efficiently—those with short-range forces where the neighbors of each atom change rapidly. They can be implemented on any distributed-memory parallel machine which allows for message-passing of data between independently executing processors. The algorithms are tested on a standard Lennard-Jones benchmark problem for system sizes ranging from 500 to 100,000,000 atoms on several parallel supercomputers--the nCUBE 2, Intel iPSC/860 and Paragon, and Cray T3D. Comparing the results to the fastest reported vectorized Cray Y-MP and C90 algorithm shows that the current generation of parallel machines is competitive with conventional vector supercomputers even for small problems. For large problems, the spatial algorithm achieves parallel efficiencies of 90% and a 1840-node Intel Paragon performs up to 165 faster than a single Cray C9O processor. Trade-offs between the three algorithms and guidelines for adapting them to more complex molecular dynamics simulations are also discussed.

29,323 citations

28 Jul 2005
TL;DR: PfPMP1)与感染红细胞、树突状组胞以及胎盘的单个或多个受体作用,在黏附及免疫逃避中起关键的作�ly.
Abstract: 抗原变异可使得多种致病微生物易于逃避宿主免疫应答。表达在感染红细胞表面的恶性疟原虫红细胞表面蛋白1(PfPMP1)与感染红细胞、内皮细胞、树突状细胞以及胎盘的单个或多个受体作用,在黏附及免疫逃避中起关键的作用。每个单倍体基因组var基因家族编码约60种成员,通过启动转录不同的var基因变异体为抗原变异提供了分子基础。

18,940 citations

Journal ArticleDOI
Changgu Lee1, Xiaoding Wei1, Jeffrey W. Kysar1, James Hone1, James Hone2 
18 Jul 2008-Science
TL;DR: Graphene is established as the strongest material ever measured, and atomically perfect nanoscale materials can be mechanically tested to deformations well beyond the linear regime.
Abstract: We measured the elastic properties and intrinsic breaking strength of free-standing monolayer graphene membranes by nanoindentation in an atomic force microscope. The force-displacement behavior is interpreted within a framework of nonlinear elastic stress-strain response, and yields second- and third-order elastic stiffnesses of 340 newtons per meter (N m(-1)) and -690 Nm(-1), respectively. The breaking strength is 42 N m(-1) and represents the intrinsic strength of a defect-free sheet. These quantities correspond to a Young's modulus of E = 1.0 terapascals, third-order elastic stiffness of D = -2.0 terapascals, and intrinsic strength of sigma(int) = 130 gigapascals for bulk graphite. These experiments establish graphene as the strongest material ever measured, and show that atomically perfect nanoscale materials can be mechanically tested to deformations well beyond the linear regime.

18,008 citations