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Displaying 1 - 25 of 446

Parmesan: mathematical concept extraction for education

May 20, 2024
Jacob Collard, Valeria de Paiva, Eswaran Subrahmanian
Mathematics is a highly specialized domain with its own unique set of challenges. Despite this, there has been relatively little research on natural language processing for mathematical texts, and there are few mathematical language resources aimed at NLP

An Interlaboratory Study for Assessing Repeatability and Reproducibility of the Data Generated by Rotating Drum Powder Rheometers Part 1: Granudrum

May 3, 2024
Vipin Tondare, Justin Whiting, Adam L. Pintar, Shawn P. Moylan, Aurelien Neveu, Filip Francqui
The National Institute of Standards and Technology (NIST) organized an interlaboratory study to assess the repeatability and reproducibility of the data generated by two commercially available rotating drum powder rheometers namely, Granudrum and

Accelerating Defect Predictions in Semiconductors Using Graph Neural Networks

March 27, 2024
Md. Habibur Rahman, Prince Gollapalli, Panayotis Manganaris, Satyesh Kumar Yadav, Ghanshyam Pilania, Arun Kumar Mannodi-Kanakkithodi, Brian DeCost, Kamal Choudhary
First principles computations reliably predict the energetics of point defects in semiconductors, but are constrained by the expense of using large supercells and advanced levels of theory. Machine learning models trained on computational data, especially

Discover STEM Education Resources

March 6, 2024
Cara O'Malley, Elizabeth Benham
The National Institute of Standards & Technology (NIST) invites educators to discover STEM resources on the NIST Educational STEM Resource (NEST-R) registry! Published by NIST scientists, engineers, & staff, NEST-R content is free & publicly available. It

Recommendation for Key Derivation Using Pseudorandom Functions

February 2, 2024
Lily Chen
This Recommendation specifies techniques for the derivation of additional keying material from a secret key—either established through a key-establishment scheme or shared through some other manner—using pseudorandom functions: HMAC, CMAC, and KMAC.

Emission Ghost Imaging: reconstruction with data augmentation

February 1, 2024
Kevin J. Coakley, Heather H. Chen-Mayer, Bruce D. Ravel, Daniel Josell, Nikolai Klimov, Sarah Robinson, Daniel S. Hussey
Ghost Imaging enables 2D reconstruction of an object even though particles transmitted or emitted by the object of interest are detected with a single pixel detector without spatial resolution. This is possible because the incident beam is spatially

Spatially-Dependent Model for Rods and Cones in the Retina

December 14, 2023
Daniel M. Anderson, Danielle Brager, Anthony J. Kearsley
We develop a mathematical model for photoreceptors in the retina. We focus on rod and cone outer segment dynamics and interactions with a nutrient source associated with the retinal pigment epithelium cells. Rod and cone densities (number per unit area of

Automated interpretation of firearm mark comparison results

December 13, 2023
Martin Baiker-Sorensen, Ivo Alberink, Laura Granell, Leen van der Ham, Erwin J.A.T. Mattijssen, Erich Smith, Johannes A. Soons, Peter Vergeer, Xiaoyu Alan Zheng
In this article an automated approach for interpretation of firearm mark comparison results is presented. First, similarity scores are derived for marks typically encountered on primers of fired cartridge cases: aperture shear striations as well as

Monitoring Spectrometer Drift with Unsupervised Machine Learning

November 20, 2023
Benjamin Harding, Ziling Hu, Ashley Hiett, Frank Delaglio, Katherine Henzler- Wildman, Chad Rienstra
Solid-state NMR spectroscopy (SSNMR) is a powerful technique to probe structural and dynamic properties of molecules at an atomic level. Modern SSNMR methods employ multidimensional pulse sequences requiring data collection over a period of days to weeks

Partial Elastic Shape Registration of 3D Surfaces using Dynamic Programming

November 3, 2023
Javier Bernal, James F. Lawrence
The computation of the elastic shape registration of two simple surfaces in 3−dimensional space and therefore of the elastic shape distance between them has been investigated by Kurtek, Jermyn, et al. who have proposed algorithms to carry out this

Multi-integral representations for Jacobi functions of the first and second kind

October 5, 2023
Howard Cohl, Roberto S. Costas-Santos
One may consider the generalization of Jacobi polynomials and the Jacobi func- tion of the second kind to a general function where the index is allowed to be a complex number instead of a non-negative integer. These functions are referred to as Jacobi func

Maximally Edge-Connected Realizations and Kundu's k-factor Theorem

August 3, 2023
James Shook
A simple graph $G$ with edge-connectivity $\lambda(G)$ and minimum degree $\delta(G)$ is maximally edge connected if $\lambda(G)=\delta(G)$. In 1964, given a non-increasing degree sequence $\pi=(d_1},\ldots,d_n})$, Jack Edmonds showed that there is a

Discovery and Recognition of Formula Conceptsusing Machine Learning

July 13, 2023
Howard Cohl, Bela Gipp, Moritz Schubotz, Philipp Scharpf
Citation-based Information Retrieval (IR) methods for scientific documents have proven effective for IR applications, such as Plagiarism Detection or Literature Recommender Systems in academic disciplines that use many references. In science, technology

Status Report on the Final Round of the NIST Lightweight Cryptography Standardization Process

June 16, 2023
Meltem Sonmez Turan, Kerry McKay, Donghoon Chang, Jinkeon Kang, Noah Waller, John M. Kelsey, Lawrence E. Bassham, Deukjo Hong
The National Institute of Standards and Technology (NIST) initiated a public standardization process to select one or more Authenticated Encryption with Associated Data (AEAD) and hashing schemes suitable for constrained environments. In February 2019, 57

Noise-resilient deep tomographic imaging

April 24, 2023
Zhen Guo, Zhiguang Liu, George Barbastathis, Qihang Zhang, Michael Glinsky, Bradley Alpert, Zachary H. Levine
X-ray tomography is a non-destructive imaging technique that reveals the interior of an object from its projections at different angles. Under limited-angle and low-photon sampling, a regularization prior is required to retrieve a high-fidelity
Displaying 1 - 25 of 446