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Search Publications

NIST Authors in Bold

Displaying 8826 - 8850 of 9860

Solidification modes during additive manufacturing of steel revealed by high-speed X-ray diffraction

March 1, 2023
Author(s)
Hans-Henrik Konig, Niklas Hollander Pettersson, A Durga, Steven Van Petegem, Daniel Grolimund, Qilin Guo, Chihpin Chuang, lianyi Chen, Christos Oikonomou, Fan Zhang, Greta Lindwall
Solidification during fusion-based additive manufacturing (AM) is characterized by high solidification velocities and high thermal gradients, two factors that control the solidification mode of AM metals and alloys. Using two synchrotron-based, in situ

Technical Framework for High Quality New Approach Methodologies (NAMs)

July 15, 2022
Author(s)
Elijah Petersen, John T. Elliott, John Gordon, Nicole Kleinstreuer, Emily Reinke, Matthias Roesslein, Blaza Toman
New approach methodologies (NAMs) are in vitro, in chemico, and computational approaches that can potentially be used to reduce animal testing. For NAMs that require laboratory experiments, it is critical that they provide consistent and reliable results

A Predictive Formula for the Electron Stopping Power

October 12, 2021
Author(s)
Aleksander Jablonski, S Tanuma, Cedric J. Powell
We describe the development of a new analytical formula for the electron stopping power (SP) for electron energies between 200 eV and 30 keV. This formula describes the product of the SP and the inelastic mean free path (IMFP), and is a simple function of

Wireless Ad-hoc Network for Trades Tracking

October 12, 2021
Author(s)
D P. Starin, William C. Stone
The NIST Construction Metrology and Automation Group (CMAG), at the suggestion of various members of the CII FIATECH consortium, investigated the possibility of developing an economical, rugged system for approximate localization of crafts and trades

PHIDL: Python-based layout and geometry creation for nanolithography

September 27, 2021
Author(s)
Adam McCaughan, Alexander N. Tait, Sonia Buckley, Jeff Chiles, Jeff Shainline, Sae Woo Nam, Dylan M. Oh
Computer-aided design (CAD) has become a critical element in the creation of nanopatterned structures and devices. In particular, with the increased adoption of easy-to-learn programming languages like python, there has been a significant rise in the

Data-Based Models for Hurricane Evolution Prediction: A Deep Learning Approach

September 8, 2021
Author(s)
Rikhi Bose, Adam L. Pintar, Emil Simiu
Fast and accurate prediction of hurricane evolution from genesis onwards is needed to reduce loss of life and enhance community resilience. In this work, a novel model development methodology for predicting storm trajectory is proposed based on two classes

Cluster Morphology of Colloidal Systems with Competing Interactions

April 15, 2021
Author(s)
Nestor E. Valadez-Perez, Yun Liu, Ramon Castaneda-Priego
Reversible aggregation of purely short-ranged attractive colloidal particles leads to the formation of clusters with a fractal dimension that only depends on the second virial coefficient. The addition of a long-ranged repulsion to the potential modifies

Dynamics of Hydroxyl Anions Promotes Lithium Ion Conduction in Antiperovskite Li 2 OHCl

October 13, 2020
Author(s)
Fei Wang, Hayden Evans, Kwangnam Kim, Liang Yin, Yiliang Li, Ping-Chun Tsai, Jue Liu, Saul H. Lapidus, Craig Brown, Donald J. Siegel, Yet-Ming Chiang
Li 2OHCl is an exemplar of the anti-perovskite family of ionic conductors, for which high ionic conductivities have been reported, but in which the atomic-level mechanism of ion migration is unclear. The stable phase is highly defective, having 1/3 of the

Simultaneous High-speed X-ray Transmission Imaging and Absolute Dynamic Absorptance Measurements during High-power Laser-metal Processing

September 10, 2020
Author(s)
Brian Simonds, Jack R. Tanner, Alexandra B. Artusio-Glimpse, Paul A. Williams, Niranjan Parab, Cang Zhao, Tao Sun
During high-power laser metal processing, the absorbed light is intimately related to the molten metal cavity shape. For the first time, we directly and simultaneously observe this relationship by implementing state-of-the-art techniques of high-speed x

Modern reassessment of the Citicorp Building design wind loads

June 15, 2020
Author(s)
Dat Duthinh
Following structural engineering practice of the 1970s, engineers designed the Citicorp Building for the action of wind in each of the structure’s principal axes. One problem they faced was how to determine design values by combining simultaneous wind

TMPS: Ticket-Mediated Password Strengthening

February 14, 2020
Author(s)
John M. Kelsey, Dana Dachman-Soled, Meltem Sonmez Turan, Sweta Mishra
… offline symmetric only protocol that uses a local trusted computing environment, and online variants that avoid the …

Materials Science in the AI age: high-throughput library generation, machine learning and a pathway from correlations to the underpinning physics

July 22, 2019
Author(s)
Kamal Choudhary, Aaron G. Kusne, Francesca M. Tavazza, Jason R. Hattrick-Simpers, Rama K. Vasudevan, Apurva Mehta, Ryan Smith, Lukas Vlcek, Sergei V. Kalinin, Maxim Ziatdinov
The use of advanced data analytics, statistical and machine learning approaches (‘AI’) to materials science has experienced a renaissance, driven by advances in computer sciences, availability and access of software and hardware, and a growing realization

A Classification Scheme for Wireless Channel Models Across the Development Life Cycle

July 12, 2019
Author(s)
David Michelson, Camillo Gentile, Nada T. Golmie, Jeanne Quimby, Kate Remley, Ken Gracie, Yvo de Jong
Wireless channel models play a critical role at all stages of the product life cycle, from standards development to network deployment. However, the distinctive needs and requirements for the channel models used at each stage of the cycle are rarely

Application of the group contribution volume translated Peng-Robinson equation of state to new commercial refrigerant mixtures

April 29, 2019
Author(s)
Ian H. Bell, Jonathan Welliquet, Maria Mondejar, Sylvain Quoilin, Ala Bazyleva, Frederik Haglind
The search of new refrigerants complying with the most recent environmental regulations must be supported by the availability of simple and reliable models for the prediction of their thermophysical behavior, both as pure substances and as mixtures. Cubic
Displaying 8826 - 8850 of 9860
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