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Institution

Sandia National Laboratories

FacilityLivermore, California, United States
About: Sandia National Laboratories is a facility organization based out in Livermore, California, United States. It is known for research contribution in the topics: Laser & Thin film. The organization has 21501 authors who have published 46724 publications receiving 1484388 citations. The organization is also known as: SNL & Sandia National Labs.
Topics: Laser, Thin film, Hydrogen, Combustion, Silicon


Papers
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Journal ArticleDOI
TL;DR: In this paper, the development of a generalized quadrilateral finite element that includes a singular point at a corner node is presented, and the global-local concept of finite elements is used to formulate the complete set of equations.
Abstract: The development of a generalized quadrilateral finite element that includes a singular point at a corner node is presented. Inter-element conformability is maintained so that monotone convergence is preserved. The global-local concept of finite elements is used to formulate the complete set of equations. Examples of crack tip singularities are given.

299 citations

Journal ArticleDOI
TL;DR: In this article, the authors describe the use of contact and imaging techniques to monitor the thermal signature during LENS processing and develop an understanding of solidification behavior, residual stress, and microstructural evolution with respect to thermal behavior.

299 citations

Journal ArticleDOI
TL;DR: The low intrinsic capacitance of this photodiode may enable the elimination of transimpedance amplifiers in future optical data communication receivers, creating ultra low power consumption optical communications.
Abstract: We present a compact 13 × 4 μm2 Germanium waveguide photodiode, integrated in a CMOS compatible silicon photonics process flow This photodiode has a best-in-class 3 dB cutoff frequency of 45 GHz, responsivity of 08 A/W and dark current of 3 nA The low intrinsic capacitance of this device may enable the elimination of transimpedance amplifiers in future optical data communication receivers, creating ultra low power consumption optical communications

298 citations

Journal ArticleDOI
TL;DR: In situ high-resolution transmission electron microscopy observations show that in sharp contrast to what happens in bulk materials, partial dislocations emitted from free surfaces dominate the deformation of gold (Au) nanocrystals, and provide direct experimental evidence for the vast amount of theoretical modelling on theDeformation mechanisms of nanomaterials that have appeared in recent years.
Abstract: Although deformation processes in submicron-sized metallic crystals are well documented, the direct observation of deformation mechanisms in crystals with dimensions below the sub-10-nm range is currently lacking. Here, through in situ high-resolution transmission electron microscopy (HRTEM) observations, we show that (1) in sharp contrast to what happens in bulk materials, in which plasticity is mediated by dislocation emission from Frank-Read sources and multiplication, partial dislocations emitted from free surfaces dominate the deformation of gold (Au) nanocrystals; (2) the crystallographic orientation (Schmid factor) is not the only factor in determining the deformation mechanism of nanometre-sized Au; and (3) the Au nanocrystal exhibits a phase transformation from a face-centered cubic to a body-centered tetragonal structure after failure. These findings provide direct experimental evidence for the vast amount of theoretical modelling on the deformation mechanisms of nanomaterials that have appeared in recent years.

298 citations

Journal ArticleDOI
TL;DR: Stable direct and indirect decentralized adaptive radial basis neural network controllers are presented for a class of interconnected nonlinear systems that are able to adaptively compensate for disturbances and interconnections with unknown bounds.
Abstract: Stable direct and indirect decentralized adaptive radial basis neural network controllers are presented for a class of interconnected nonlinear systems. The feedback and adaptation mechanisms for each subsystem depend only upon local measurements to provide asymptotic tracking of a reference trajectory. Due to the functional approximation capabilities of radial basis neural networks, the dynamics for each subsystem are not required to be linear in a set of unknown coefficients as is typically required in decentralized adaptive schemes. In addition, each subsystem is able to adaptively compensate for disturbances and interconnections with unknown bounds.

298 citations


Authors

Showing all 21652 results

NameH-indexPapersCitations
Lily Yeh Jan16246773655
Jongmin Lee1502257134772
Jun Liu13861677099
Gerbrand Ceder13768276398
Kevin M. Smith114171178470
Henry F. Schaefer111161168695
Thomas Bein10967742800
David Chandler10742452396
Stephen J. Pearton104191358669
Harold G. Craighead10156940357
Edward Ott10166944649
S. Das Sarma10095158803
Richard M. Crooks9741931105
David W. Murray9769943372
Alán Aspuru-Guzik9762844939
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202340
2022245
20211,510
20201,580
20191,535
20181,514