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Search Publications by: Adam L. Pintar (Fed)

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Displaying 1 - 25 of 60

Traceable localization enables accurate integration of quantum emitters and photonic structures with high yield

March 18, 2024
Author(s)
Craig R. Copeland, Adam L. Pintar, Ronald G. Dixson, Ashish Chanana, Kartik Srinivasan, Daron Westly, Robert Ilic, Marcelo Davanco, Samuel M. Stavis
In a popular integration process for quantum information technologies, localization microscopy of quantum emitters guides lithographic placement of photonic structures. However, a complex coupling of microscopy and lithography errors degrades registration

Certification of Standard Reference Material(R) 2693a Bituminous Coal (Nominal Mass Fraction 0.5 % Sulfur)

January 25, 2024
Author(s)
Thomas W. Vetter, Colleen E. Bryan Sallee, Brian Lang, Anthony F. Marlow, Jennifer Ness, Rick L. Paul, Adam L. Pintar, Bruce Scruggs, Nicholas Sharp, Maria Isabel Vega Martinez, John Sieber
Standard Reference Material (SRM) 2693a Bituminous Coal (Nominal Mass Fraction 0.5 % Sulfur) is intended for use in the evaluation of techniques employed in the determination of sulfur, mercury, chlorine, and ash in coal and materials of a similar matrix

Effect of Alkali-Silica Reaction on the Flexural Behavior of Beams with Tensile Lap Splices

March 31, 2023
Author(s)
Long Phan, Jonathan Weigand, Fahim H. Sadek, Adam L. Pintar, Sorin Marcu, Travis Thonstad, Timothy Barrett
A series of 19 beam specimens, with varying stirrup spacing and tensile lap splice lengths, were tested at the National Institute of Standards and Technology (NIST) under four-point loading to investigate the impact of alkali silica reaction (ASR) on the

Certification of Standard Reference Material(R) 915c Calcium Carbonate

September 20, 2022
Author(s)
Thomas W. Vetter, Jason Waters, Adam L. Pintar
Standard Reference Material (SRM) 915c Calcium Carbonate is certified as a chemical substance of known purity. It is intended for use in the calibration and standardization of procedures for calcium (Ca) determinations employed in clinical analysis and for

Sub-picoliter Traceability of Microdroplet Gravimetry and Microscopy

December 20, 2021
Author(s)
Lindsay C. C. Elliott, Adam L. Pintar, Craig R. Copeland, Thomas Brian Renegar, Ronald G. Dixson, Robert Ilic, R. Michael Verkouteren, Samuel M. Stavis
Volumetric analysis of single microdroplets is difficult to perform by ensemble gravimetry, whereas optical microscopy is often inaccurate beyond the resolution limit. To address the latter issue, we advance and integrate these complementary methods

Structural Performance of Nuclear Power Plant Concrete Structures Affected by Alkali-Silica Reaction (ASR). Task 3: Assessing Cyclic Performance of ASR-Affected Concrete Shear Walls

September 27, 2021
Author(s)
Jonathan Weigand, Fahim H. Sadek, Travis Thonstad, Sorin Marcu, Rudy Villegas, Long Phan, Adam L. Pintar
This report describes the results of Task 3 of a five-task comprehensive research program conducted at the National Institute of Standards and Technology (NIST) under the sponsorship of the U.S. Nuclear Regulatory Commission (NRC). The overall study aims

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

Demonstration of a laser powder bed fusion combinatorial sample for high-throughput microstructure and indentation characterization

August 3, 2021
Author(s)
Jordan Weaver, Adam L. Pintar, Carlos R. Beauchamp, Howard Joress, Kil-Won Moon, Thien Q. Phan
High-throughput experiments that use combinatorial samples with rapid measurements can be used to provide process-structure-property information at reduced time, cost, and effort. Developing these tools and methods is essential in additive manufacturing

Structural Performance of Nuclear Power Plant Concrete Structures Affected by Alkali-Silica Reaction (ASR) - Task 1: Assessing In-Situ Mechanical Properties of ASR-Affected Concrete

February 8, 2021
Author(s)
Fahim H. Sadek, Travis E. Thonstad, Sorin Marcu, Jonathan Weigand, timothy J. barrett, Hai S. Lew, Long Phan, Adam L. Pintar
This report describes the results of Task 1 of a five-task comprehensive research program being conducted at the National Institute of Standards and Technology (NIST) under the sponsorship of the U.S. Nuclear Regulatory Commission (NRC). The overall study

Structural Performance of Nuclear Power Plant Concrete Structures Affected by Alkali-Silica Reaction (ASR) - Task 2: Assessing Bond and Anchorage of Reinforcing Bars in ASR-Affected Concrete

February 3, 2021
Author(s)
Travis E. Thonstad, Jonathan Weigand, Fahim H. Sadek, Sorin Marcu, timothy J. barrett, Hai S. Lew, Long Phan, Adam L. Pintar
This report describes the results of Task 2 of a five-task comprehensive research program being conducted at the National Institute of Standards and Technology (NIST) under the sponsorship of the U.S. Nuclear Regulatory Commission (NRC). The overall study

Merging experiments and computer simulations in X-ray Computed Tomography probability of detection analysis of additive manufacturing flaws

January 27, 2021
Author(s)
Felix Kim, Adam L. Pintar, Jason Fox, Jared B. Tarr, Alkan Donmez, Anne-Francoise Obaton
X-ray Computed Tomography (XCT) is a growing industrial non-destructive testing (NDT) technique for advanced manufacturing industries such as additive manufacturing (AM). Probability of detection (POD) is a critical aspect for qualifying NDT techniques

Bayesian Hierarchical Models for Service Life Prediction of Polymers

August 5, 2020
Author(s)
Adam L. Pintar, Christopher C. White, Li Piin Sung
Service life prediction for polymers remains an elusive goal. In this chapter, a general methodology first described in a previous study \cite{pintar2018predicting} is recapitulated and extended. A central component of the methodology is a Bayesian

Validating Predictive Models with Outdoor Data

October 17, 2019
Author(s)
Christopher C. White, Donald L. Hunston, Li Piin Sung, Hsiang C. Hsueh, Adam L. Pintar, Deborah S. Jacobs
The NIST service life prediction program has demonstrated success in producing validated predictions for the property change resulting from outdoor exposure for a range of polymer systems including Epoxy, Polyethylene, Polyester, Polyethylene terephthalate

PROBABILITY OF DETECTION OF X-RAY COMPUTED TOMOGRAPHY OF ADDITIVE MANUFACTURING DEFECTS

July 19, 2019
Author(s)
Felix H. Kim, Adam L. Pintar, Jason C. Fox, Jared B. Tarr, M A. Donmez, Anne-Fran?oise Obaton
A methodology to determine probability of detection (POD) of X-ray Computed Tomography (XCT) was developed using Additive Manufacturing defects. A signal response POD analysis (a^ vs a) was used, where both signal response (a^) and true defect size (a)

Scatter corrections in x-ray computed tomography: a physics-based analysis

May 22, 2019
Author(s)
Zachary H. Levine, Timothy Blattner, Adele Peskin, Adam L. Pintar
Fundamental limits for the calculation of scattering corrections within X-ray computed tomography (CT) are found within the independent atom approximation from an analysis of the cross sections, CT geometry, and the Nyquist sampling theorem, suggesting