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Displaying 726 - 750 of 7107

User-Centered Evaluations of Ubicomp Applications

May 8, 2002
Author(s)
Jean C. Scholtz, L Arnstein, M Kim, T Kindberg, Sunny Consolvo
… As more evaluations of ubiquitous computing (ubicomp) applications are being undertaken … are more difficult than those for typical desktop computing applications. In this paper, we discuss some … We present some properties unique to ubiquitous computing applications and suggest metrics to evaluate them. …

Embedded Real-Time Linux for Cable Robot Control

October 2, 2002
Author(s)
Frederick M. Proctor, William P. Shackleford
… in more arcane applications such as embedded or real-time computing. Embedded applications typically run in small physical and computing footprints, usually without fragile peripherals …

Investigation of complementary use of optical metrology and x-ray computed tomography for surface finish in laser powder bed fusion additive manufacturing

October 10, 2017
Author(s)
Jason Fox, Felix Kim, Zachary Reese, Christopher Evans
… for conventional surface finish metrology, but X-ray Computed Tomography (XCT) has emerged as a candidate since it … Additive manufacturing, laser powder bed fusion, x-ray computed tomography, surface finish … of complementary use of optical metrology and x-ray computed tomography for surface finish in laser powder bed …

Architecture for a Large-Scale Ion-Trap Quantum Computer

January 1, 2002
Author(s)
D Kielpinski, C R. Monroe, David J. Wineland
… massively parallel gate operation in a large-scale quantum computer, based on techniques already demonstrated for … Architecture for a Large-Scale Ion-Trap Quantum Computer …

Graph Neural Network Predictions of Metal Organic Framework CO2 Adsorption Properties

July 1, 2022
Author(s)
Kamal Choudhary, Taner N. Yildirim, Daniel Siderius, A. Gilad Kusne, Austin McDannald, Diana Ortiz-Montalvo
The increasing CO$_2$ level is a critical concern and suitable materials are needed to directly capture such gases from the environment. While experimental and conventional computational methods are useful in finding such materials, they are usually slow

High-throughput Density Functional Perturbation Theory and Machine Learning Predictions of Infrared, Piezoelectric and Dielectric Responses

May 27, 2020
Author(s)
Kamal Choudhary, Kevin F. Garrity, Vinit Sharma, Adam J. Biacchi, Francesca M. Tavazza, Angela R. Hight Walker
In this work, combining high-throughput (HT) density functional perturbation theory and supervised machine learning approaches, we explored the territory of compounds with interesting infrared, piezoelectric and dielectric properties. We have computed Γ

Semiempirical Configuration Interaction Calculations for RuCentered Dyes

February 18, 2018
Author(s)
Lisa A. Fredin, Thomas C. Allison
Computational investigation of of the photochemical properties of transition-metal-centered dyes typically involves optimization of the molecular structure followed by calculation of the UV/Visible spectrum. At present, these steps are usually carried out

How Good Are Force Fields for Gas-Phase Protonated Peptides?

October 16, 2008
Author(s)
Christopher Kinsinger, Karl K. Irikura
With the increase in mass-spectrometry-based proteomics, many research projects depend on the chemistry of peptide fragmentation. Elucidating fragmentation mechanisms requires a thorough exploration of the potential energy surface. Conformational searching

SEAC Maintenance Manual: The Outscriber

January 1, 1960
Author(s)
Russell A. Kirsch
One of the more serious problems in the design of automatic digital computers is that of getting the calculated results out of the machine rapidly enought to avoid delaying the further progress of the calculations. In many of the problems to which a

Sampling from exponential distributions in the time domain with superparamagnetic tunnel junctions

April 22, 2025
Author(s)
Temitayo Adeyeye, Sidra Gibeault, Daniel Lathrop, Matthew Daniels, Mark Stiles, Jabez McClelland, William Borders, Jason Ryan, Philippe Talatchian, Ursula Ebels, Advait Madhavan
… tunnel junction (SMTJ), a key device in probabilistic computing, shows exponentially distributed temporal switching … sampling from exponential distributions, probabilistic computing, temporal computing …

Effective Fragment Potentials and the Enzyme Active Site

May 1, 2000
Author(s)
S E. Worthington, Morris Krauss
Optimization of the binding conformation of a substrate in an enzyme active site using ab initio quantum chemistry methods are intractable since the active site comprises several hundred atoms. However, the active site can be decomposed into an active and

AI-Based Environment Segmentation Using a Context-Aware Channel Sounder

April 26, 2024
Author(s)
Anuraag Bodi, Samuel Berweger, Raied Caromi, Jihoon Bang, Jelena Senic, Camillo Gentile
… Then the segmented images are projected onto the point cloud captured by the Lidar. Since the receiver end of the … coordinate system to synthesize a single, holistic point cloud of the environment. Finally, the synthesized point cloud is tessellated into a 3D mesh. The segmented mesh can …

Surrogate modeling of microstructure prediction in additive manufacturing

November 21, 2024
Author(s)
Paul Witherell, Sankaran Mahadevan, Paromita Nath, Arulmurugan Senthilnathan
Variability in the additive manufacturing process and powder material properties affect the microstructure which influences the macro-scale material properties. Systematic quantification and propagation of this uncertainty require numerous process

The joint automated repository for various integrated simulations (JARVIS) for data-driven materials design

November 12, 2020
Author(s)
Kamal Choudhary, Kevin Garrity, Andrew C. Reid, Brian DeCost, Adam Biacchi, Angela R. Hight Walker, Zachary Trautt, Jason Hattrick-Simpers, Aaron Kusne, Andrea Centrone, Albert Davydov, Francesca Tavazza, Jie Jiang, Ruth Pachter, Gowoon Cheon, Evan Reed, Ankit Agrawal, Xiaofeng Qian, Vinit Sharma, Houlong Zhuang, Sergei Kalinin, Ghanshyam Pilania, Pinar Acar, Subhasish Mandal, David Vanderbilt, Karin Rabe
The Joint Automated Repository for Various Integrated Simulations (JARVIS) is an integrated infrastructure to accelerate materials discovery and design using density functional theory (DFT), classical force-fields (FF), and machine learning (ML) techniques

Computing Network Reliability Coefficients

December 1, 2011
Author(s)
Elizabeth R. Moseman, Isabel M. Beichl, Francis Sullivan
… approximation methods. We have developed two methods for computing these coefficients: one based on sequential … Computing Network Reliability Coefficients …
Displaying 726 - 750 of 7107
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