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Institution

Brown University

EducationProvidence, Rhode Island, United States
About: Brown University is a education organization based out in Providence, Rhode Island, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 35778 authors who have published 90896 publications receiving 4471489 citations. The organization is also known as: brown.edu & Brown.


Papers
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Journal ArticleDOI
TL;DR: The mechanisms of LTD are discussed and their possible relevance to hippocampal function is discussed.
Abstract: Long-term depression (LTD) is a lasting decrease in synaptic effectiveness that follows some types of electrical stimulation in the hippocampus. Two broad types of LTD may be distinguished. Heterosynaptic LTD can occur at synapses that are inactive, normally during high-frequency stimulation of a converging synaptic input. Homosynaptic LTD can occur at synapses that are activated, normally at low frequencies. Here we discuss the mechanisms of LTD and their possible relevance to hippocampal function.

614 citations

Journal ArticleDOI
TL;DR: In this paper, a bifurcation analysis is used to determine the geometry of the localized deformation modes, and suitably defined shape functions are added to the element interpolation which closely reproduce the localized modes.
Abstract: A method is proposed which aims at enhancing the performance of general classes of elements in problems involving strain localization. The method exploits information concerning the process of localization which is readily available at the element level. A bifurcation analysis is used to determine the geometry of the localized deformation modes. When the onset of localization is detected, suitably defined shape functions are added to the element interpolation which closely reproduce the localized modes. The extra degrees of freedom representing the amplitudes of these modes are eliminated by static condensation. The proposed methodology can be applied to 2-D and 3-D problems involving arbitrary rate-independent material behavior. Numerical examples demonstrate the ability of the method to resolve the geometry of localized failure modes to the highest resolution allowed by the mesh.

613 citations

Journal ArticleDOI
TL;DR: It is shown that the anomalously large conductance can be understood in terms of a model in which the anharmonicity of the metal plays an importantmore » role.
Abstract: Measurements of the Kapitza conductance ${\mathrm{\ensuremath{\sigma}}}_{\mathit{K}}$ made using a picosecond optical technique at temperatures between 50 and 300 K are presented for interfaces between metals and dielectrics. The Debye temperatures ${\mathit{FTHETA}}_{\mathit{D}}$ of the metals (Pb, Au, Al, and Ti) were in the range from 102 to 426 K, while those of the dielectrics (${\mathrm{BaF}}_{2}$, sapphire, and diamond) varied from 287 to 2200 K. Conductances measured between materials with ${\mathit{FTHETA}}_{\mathit{D}}$ differing by less than about a factor of 5 were found to be in reasonable agreement with calculations based on a lattice dynamical theory. However, for more widely mismatched solids the measured conductances were found to be greatly in excess of the lattice dynamical calculations. In some of these cases the conductances exceeded even the phonon radiation limit, indicating that much of the heat flow between the solids was via an inelastic channel. It was demonstrated experimentally that the inelastic channel does not involve an interaction between the phonons in the dielectric and electrons in the metal. We show that the anomalously large conductance can be understood in terms of a model in which the anharmonicity of the metal plays an important role.

613 citations

Book
01 Aug 1991
TL;DR: This book is useful to researchers in artificial intelligence and control theory, and others concerned with the design of complex applications in robotics, automated manufacturing, and time-critical decision support.
Abstract: "Planning and Control" explores planning and control by reformulating the two areas in a common control framework, developing the corresponding techniques side-by-side, and identifying opportunities for integrating their ideas and methods. This book is organized around the central roles of prediction, observation, and computation control. The first three chapters deal with predictive models of physical systems based on temporal logic and the differential calculus. Chapter 4 and 5 present some basic concepts in planning and control, including controllability, observability, stability, feedback control, task reduction, conditional plans, and the relationship between goals and preferences. Chapters 6 and 7 consider issues of uncertainty, covering state estimation and the Kalman filter, stochastic dynamic programming, probabilistic modeling, and graph-based decision models. The remaining chapters investigate selected topics in time-critical decision making, adaptive control, and hybrid control architectures. Throughout, the reader is led to consider critical tradeoffs involving the accuracy of prediction, the availability of information from observation, and the costs and benefits of computation in dynamic environments. This book is useful to researchers in artificial intelligence and control theory, and others concerned with the design of complex applications in robotics, automated manufacturing, and time-critical decision support.

613 citations

Journal ArticleDOI
TL;DR: In this paper, the authors present a simulation of the transition and free-molecular regime of pressure-driven liquid flow in a shear-driven and separated liquid flow model.
Abstract: Basic Concepts and Technologies * Governing Equations and Slip Models * Shear-Driven and Separated Micro Flows * Pressure-Driven Micro Flows: Slip Flow Regime * Pressure-Driven Flows: Transition and Free- Molecular Regimes * Thermal Effects in Micro Scales * Prototype Applications of Gas Micro Flows * Electrokinetically-Driven Liquid Micro Flows * Numerical Methods for Continuous Simulation * Numerical Methods for Atomistic Simulation

612 citations


Authors

Showing all 36143 results

NameH-indexPapersCitations
Walter C. Willett3342399413322
Robert Langer2812324326306
Robert M. Califf1961561167961
Eric J. Topol1931373151025
Joan Massagué189408149951
Joseph Biederman1791012117440
Gonçalo R. Abecasis179595230323
James F. Sallis169825144836
Steven N. Blair165879132929
Charles M. Lieber165521132811
J. S. Lange1602083145919
Christopher J. O'Donnell159869126278
Charles M. Perou156573202951
David J. Mooney15669594172
Richard J. Davidson15660291414
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023126
2022591
20215,549
20205,321
20194,806
20184,462