Institution
Carnegie Mellon University
Education•Pittsburgh, Pennsylvania, United States•
About: Carnegie Mellon University is a education organization based out in Pittsburgh, Pennsylvania, United States. It is known for research contribution in the topics: Population & Robot. The organization has 36317 authors who have published 104359 publications receiving 5975734 citations. The organization is also known as: CMU & Carnegie Mellon.
Papers published on a yearly basis
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TL;DR: This article reviews the now extensive research literature addressing the impact of accountability on a wide range of social judgments and choices and highlights the utility of treating thought as a process of internalized dialogue and the importance of documenting social and institutional boundary conditions on putative cognitive biases.
Abstract: This article reviews the now extensive research literature addressing the impact of accountabilit y on a wide range of social judgments and choices. It focuses on 4 issues: (a) What impact do various accountability ground rules have on thoughts, feelings, and action? (b) Under what conditions will accountability attenuate, have no effect on, or amplify cognitive biases? (c) Does accountability alter how people think or merely what people say they think? and (d) What goals do accountable decision makers seek to achieve? In addition, this review explores the broader implications of accountability research. It highlights the utility of treating thought as a process of internalized dialogue; the importance of documenting social and institutional boundary conditions on putative cognitive biases; and the potential to craft empirical answers to such applied problems as how to structure accountability relationships in organizations.
2,045 citations
Book•
26 Mar 1986TL;DR: Legged Robots that Balance as discussed by the authors describes the study of physical machines that run and balance on just one leg, including analysis, computer simulation, and laboratory experiments, and reveals that control of such machines is not particularly difficult.
Abstract: This book, by a leading authority on legged locomotion, presents exciting engineering and science, along with fascinating implications for theories of human motor control. It lays fundamental groundwork in legged locomotion, one of the least developed areas of robotics, addressing the possibility of building useful legged robots that run and balance.The book describes the study of physical machines that run and balance on just one leg, including analysis, computer simulation, and laboratory experiments. Contrary to expectations, it reveals that control of such machines is not particularly difficult. It describes how the principles of locomotion discovered with one leg can be extended to systems with several legs and reports preliminary experiments with a quadruped machine that runs using these principles.Raibert's work is unique in its emphasis on dynamics and active balance, aspects of the problem that have played a minor role in most previous work. His studies focus on the central issues of balance and dynamic control, while avoiding several problems that have dominated previous research on legged machines.Marc Raibert is Associate Professor of Computer Science and Robotics at Carnegie-Mellon University and on the editorial board of The MIT Press journal, "Robotics Research. Legged Robots That Balance" is fifteenth in the Artificial Intelligence Series, edited by Patrick Winston and Michael Brady.
2,044 citations
University of Washington1, Paris Diderot University2, Lawrence Berkeley National Laboratory3, New York University4, University of Utah5, Apache Corporation6, Autonomous University of Madrid7, Yale University8, University of Barcelona9, Harvard University10, Aix-Marseille University11, Princeton University12, Carnegie Mellon University13, Ohio State University14, University of Portsmouth15, University of California, Irvine16, University College London17, University of Valencia18, Max Planck Society19, Leibniz Institute for Astrophysics Potsdam20, Institut d'Astrophysique de Paris21, Spanish National Research Council22, Columbia University23, University of California, Berkeley24, Drexel University25, Korea Institute for Advanced Study26, Institute for the Physics and Mathematics of the Universe27, Abastumani Astrophysical Observatory28, Pennsylvania State University29, University of California, San Diego30, University of Wisconsin-Madison31, Open University32, Case Western Reserve University33
TL;DR: In this paper, the authors present a measurement of the cosmic distance scale from detections of the baryon acoustic oscillations in the clustering of galaxies from the Baryon Oscillation Spectroscopic Survey (BOSS), which is part of the Sloan Digital Sky Survey III (SDSS-III).
Abstract: We present a one per cent measurement of the cosmic distance scale from the detections of the baryon acoustic oscillations in the clustering of galaxies from the Baryon Oscillation Spectroscopic Survey (BOSS), which is part of the Sloan Digital Sky Survey III (SDSS-III). Our results come from the Data Release 11 (DR11) sample, containing nearly one million galaxies and covering approximately $8\,500$ square degrees and the redshift range $0.2
2,040 citations
TL;DR: Although a sizable body of knowledge is prerequisite to expert skill, that knowledge must be indexed by large numbers of patterns that, on recognition, guide the expert in a fraction of a second to relevant parts of the knowledge store.
Abstract: Although a sizable body of knowledge is prerequisite to expert skill, that knowledge must be indexed by large numbers of patterns that, on recognition, guide the expert in a fraction of a second to relevant parts of the knowledge store. The knowledge forms complex schemata that can guide a problem's interpretation and solution and that constitute a large part of what we call physical intuition.
2,038 citations
Pennsylvania State University1, Rensselaer Polytechnic Institute2, Oak Ridge National Laboratory3, University of Central Florida4, Yale University5, Purdue University6, Carnegie Mellon University7, Massachusetts Institute of Technology8, University of California, Berkeley9, Lawrence Berkeley National Laboratory10, Rice University11, Chinese Academy of Sciences12, University of Texas at Austin13, University of California, Santa Barbara14
TL;DR: Insight is provided into the theoretical modeling and understanding of the van der Waals forces that hold together the 2D layers in bulk solids, as well as their excitonic properties and growth morphologies.
Abstract: The isolation of graphene in 2004 from graphite was a defining moment for the “birth” of a field: two-dimensional (2D) materials In recent years, there has been a rapidly increasing number of papers focusing on non-graphene layered materials, including transition-metal dichalcogenides (TMDs), because of the new properties and applications that emerge upon 2D confinement Here, we review significant recent advances and important new developments in 2D materials “beyond graphene” We provide insight into the theoretical modeling and understanding of the van der Waals (vdW) forces that hold together the 2D layers in bulk solids, as well as their excitonic properties and growth morphologies Additionally, we highlight recent breakthroughs in TMD synthesis and characterization and discuss the newest families of 2D materials, including monoelement 2D materials (ie, silicene, phosphorene, etc) and transition metal carbide- and carbon nitride-based MXenes We then discuss the doping and functionalization of 2
2,036 citations
Authors
Showing all 36645 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Yi Chen | 217 | 4342 | 293080 |
| Rakesh K. Jain | 200 | 1467 | 177727 |
| Robert C. Nichol | 187 | 851 | 162994 |
| Michael I. Jordan | 176 | 1016 | 216204 |
| Jasvinder A. Singh | 176 | 2382 | 223370 |
| J. N. Butler | 172 | 2525 | 175561 |
| P. Chang | 170 | 2154 | 151783 |
| Krzysztof Matyjaszewski | 169 | 1431 | 128585 |
| Yang Yang | 164 | 2704 | 144071 |
| Geoffrey E. Hinton | 157 | 414 | 409047 |
| Herbert A. Simon | 157 | 745 | 194597 |
| Yongsun Kim | 156 | 2588 | 145619 |
| Terrence J. Sejnowski | 155 | 845 | 117382 |
| John B. Goodenough | 151 | 1064 | 113741 |
| Scott Shenker | 150 | 454 | 118017 |