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Institution

Rice University

EducationHouston, Texas, United States
About: Rice University is a education organization based out in Houston, Texas, United States. It is known for research contribution in the topics: Population & Carbon nanotube. The organization has 28664 authors who have published 56387 publications receiving 2663929 citations. The organization is also known as: William Marsh Rice University.


Papers
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Book ChapterDOI
TL;DR: Pastry as mentioned in this paper is a scalable, distributed object location and routing substrate for wide-area peer-to-peer ap- plications, which performs application-level routing and object location in a po- tentially very large overlay network of nodes connected via the Internet.
Abstract: This paper presents the design and evaluation of Pastry, a scalable, distributed object location and routing substrate for wide-area peer-to-peer ap- plications. Pastry performs application-level routing and object location in a po- tentially very large overlay network of nodes connected via the Internet. It can be used to support a variety of peer-to-peer applications, including global data storage, data sharing, group communication and naming. Each node in the Pastry network has a unique identifier (nodeId). When presented with a message and a key, a Pastry node efficiently routes the message to the node with a nodeId that is numerically closest to the key, among all currently live Pastry nodes. Each Pastry node keeps track of its immediate neighbors in the nodeId space, and notifies applications of new node arrivals, node failures and recoveries. Pastry takes into account network locality; it seeks to minimize the distance messages travel, according to a to scalar proximity metric like the number of IP routing hops. Pastry is completely decentralized, scalable, and self-organizing; it automatically adapts to the arrival, departure and failure of nodes. Experimental results obtained with a prototype implementation on an emulated network of up to 100,000 nodes confirm Pastry's scalability and efficiency, its ability to self-organize and adapt to node failures, and its good network locality properties.

7,423 citations

Journal ArticleDOI
TL;DR: Results show that, even though the interuser channel is noisy, cooperation leads not only to an increase in capacity for both users but also to a more robust system, where users' achievable rates are less susceptible to channel variations.
Abstract: Mobile users' data rate and quality of service are limited by the fact that, within the duration of any given call, they experience severe variations in signal attenuation, thereby necessitating the use of some type of diversity. In this two-part paper, we propose a new form of spatial diversity, in which diversity gains are achieved via the cooperation of mobile users. Part I describes the user cooperation strategy, while Part II (see ibid., p.1939-48) focuses on implementation issues and performance analysis. Results show that, even though the interuser channel is noisy, cooperation leads not only to an increase in capacity for both users but also to a more robust system, where users' achievable rates are less susceptible to channel variations.

6,621 citations

Journal ArticleDOI
18 Dec 2014-Cell
TL;DR: In situ Hi-C is used to probe the 3D architecture of genomes, constructing haploid and diploid maps of nine cell types, identifying ∼10,000 loops that frequently link promoters and enhancers, correlate with gene activation, and show conservation across cell types and species.

5,945 citations

Book
20 Dec 1990
TL;DR: In this article, a representation of stochastic processes and response statistics are represented by finite element method and response representation, respectively, and numerical examples are provided for each of them.
Abstract: Representation of stochastic processes stochastic finite element method - response representation stochastic finite element method - response statistics numerical examples.

5,495 citations

Journal ArticleDOI
TL;DR: This work constructs a meta-GGA density functional for the exchange-correlation energy that satisfies exact constraints without empirical parameters, and describes both molecules and solids with high accuracy, as shown by extensive numerical tests.
Abstract: The electron density, its gradient, and the Kohn-Sham orbital kinetic energy density are the local ingredients of a meta-generalized gradient approximation (meta-GGA). We construct a meta-GGA density functional for the exchange-correlation energy that satisfies exact constraints without empirical parameters. The exchange and correlation terms respect two paradigms: one- or two-electron densities and slowly varying densities, and so describe both molecules and solids with high accuracy, as shown by extensive numerical tests. This functional completes the third rung of "Jacob's ladder" of approximations, above the local spin density and GGA rungs.

5,494 citations


Authors

Showing all 28875 results

NameH-indexPapersCitations
Hagop M. Kantarjian2043708210208
Hongjie Dai197570182579
Alan C. Evans183866134642
Pulickel M. Ajayan1761223136241
Wei Li1581855124748
David Tilman158340149473
Menachem Elimelech15754795285
Richard E. Smalley153494111117
Jay Roberts1521562120516
Ashok Kumar1515654164086
Yoshio Bando147123480883
Marco Zanetti1451439104610
Frank Jm Geurts1441484107855
James M. Tour14385991364
Daniela Bortoletto1431883108433
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202375
2022375
20213,146
20203,337
20192,890
20182,697