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Mathematics & Statistics

Modeling & simulation research

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Displaying 26 - 50 of 904

Data-Driven Modeling of Noise Time Series with Convolutional Generative Adversarial Networks

August 21, 2023

Author(s)

Adam Wunderlich, Jack Sklar

Random noise arising from physical processes is an inherent characteristic of measurements and a limiting factor for most signal processing and data analysis tasks. Given the recent interest in generative adversarial networks (GANs) for data-driven

Reducing Bias and Quantifying Uncertainty in Fluorescence Produced by PCR

August 14, 2023

Author(s)

Robert De Jaco, Matthew Roberts, Erica Romsos, Peter Vallone, Anthony J. Kearsley

Development of a Bias Compensating Q-Learning Controller for a Multi-Zone HVAC Facility

August 1, 2023

Author(s)

Syed Ali Asad Rizvi, Amanda Pertzborn

We present the development of a bias compensating reinforcement learning (RL) algorithm that optimizes thermal comfort (by minimizing tracking error) and control utilization (by penalizing setpoint deviations) in a multi-zone heating, ventilation, and air

Internal and external harmonics in bi-cyclide coordinates

July 20, 2023

Author(s)

Hans Volkmer, Brandon Alexander, Howard Cohl

The Laplace equation in three-dimensional Euclidean space is R-separable in bi-cyclide coordinates leading to harmonic functions expressed in terms of Lamé–Wangerin functions called internal and external bi-cyclide harmonics. An expansion for a fundamental

O-RAN with Machine Learning in ns-3

June 28, 2023

Author(s)

Wesley Garey, Richard A. Rouil, Evan Black, Tanguy Ropitault, Weichao Gao

The Open Radio Access Network (O-RAN) Alliance is the industry led standardization effort, with the sole purpose of evolving the Radio Access Network (RAN) to be more open, intelligent, interoperable, and autonomous to support the ever growing need of

pH response of sequence-controlled polyampholyte brushes

May 31, 2023

Author(s)

Xin Yuan, Harold Hatch, Jacinta Conrad, Amanda Marciel, Jeremy Palmer

We use molecular simulation to investigate the pH response of sequence-controlled polyampholyte brushes (PABs) with polymer chains consisting of alternating blocks of weakly acidic and basic monomers. Changes in the ionization state, height, lateral

Model Validation for Scanning Electron Microscopy

April 27, 2023

Author(s)

Olga Ridzel, Wataru Yamane, Ishiaka Mansaray, John S. Villarrubia

We are beginning projects to validate the physics models used for interpretation of electron microscopy images. In one, we will measure electron yields and energy spectra from cleaned well-characterized samples subjected to electron bombardment inside of a

Machine learning based prediction of melt pool morphology in a laser-based powder bed fusion additive manufacturing process

April 18, 2023

Author(s)

Zhibo Zhang, Chandan Kumar Sahu, Shubhendu Kumar Singh, Rahul Rai, Zhuo Yang, Yan Lu

Laser-based powder bed fusion (L-PBF) has become the de facto choice for metal additive manufacturing (AM) processes. Even after considerable research investments, components manufactured using L-PBF lack consistency in their quality. Realizing the crucial

Investigating the Harmonic Dependence of MPI Resolution

March 19, 2023

Author(s)

Mark-Alexander Henn, Thinh Bui, Solomon I. Woods

In this work we investigate how the MPI resolution changes as a function of signal harmonics. Based on a simulation study that models a lock-in measurement of the point spread function we apply our findings to actual measurement data obtained from NIST's

Investigating the Influence of Sampling Frequency on X-Space MPI Image Reconstructions

March 19, 2023

Author(s)

Mark-Alexander Henn, Klaus Natorf Quelhas, Solomon I. Woods

In this presentation we employ a direct X-space deconvolution to estimate particle distributions from MPI data. We report on how the accuracy of those estimations changes as a function of sampling frequency and compare the findings to the MPI core operator

Improving diagnostic testing accuracy by moving to higher dimensions with applications to saliva-based SARS-CoV-2 assays

March 13, 2023

Author(s)

Rayanne Luke, Anthony J. Kearsley, Nora Pisanic, Yukari Manabe, David Thomas, Christopher Heaney, Paul Patrone

A Gray-Box Model of a Two-Stage Heat Pump for Electrical Load Forecasting in a Single-Family Residence

March 10, 2023

Author(s)

Farhad Omar

Buildings as a set of electric loads and generation resources can play an essential role in managing the stability of the power system in a smart grid. Traditionally, buildings assumed a passive rule in the day-to-day operation of the electric grid

NIST Alternatives for Resilient Communities (NIST ARC) Software Tool: Mathematical Programming Model

March 9, 2023

Author(s)

Kenneth Harrison, Tasnim Ibn Faiz, Zeinab Farahmandfar, Shane Crawford, Jarrod Loerzel

The National Institute of Standards and Technology (NIST) Alternatives for Resilient Communities (NIST ARC) software is an interactive tool for developing alternative sets of actions that meet community resilience and cost goals, given hazard and

AtomVision: A machine vision library for atomistic images

March 1, 2023

Author(s)

Brian DeCost, Ramya Gurunathan, Adam Biacchi, Kamal Choudhary

Computer vision techniques have immense potential for materials design applications. In this work, we introduce an integrated and general-purpose AtomVision library that can be used to generate and curate microscopy image (such as scanning tunneling

Nonterminating transformations and summations associated with some q-Mellin-Barnes integrals

March 1, 2023

Author(s)

Howard Cohl, Roberto Costas-Santos

In many cases one may encounter an integral which is of $q$-Mellin--Barnes type. These integrals are easily evaluated using theorems which have a long history dating back to Slater, Askey, Gasper, Rahman and others. We derive some interesting $q$-Mellin-

Prevalence Estimation and Optimal Classification Scheme to Account for Time Dependence in Antibody Levels

February 21, 2023

Author(s)

Prajakta Bedekar, Anthony J. Kearsley, Paul Patrone

Serology testing can identify past infection by quantifying the immune response of an infected individual providing important public health guidance. Individual immune responses are time-dependent, which is reflected in antibody measurements. Moreover, the

Optimal classification and generalized prevalence estimates for diagnostic settings with more than two classes

February 17, 2023

Author(s)

Rayanne Luke, Anthony J. Kearsley, Paul Patrone

An accurate multiclass classification strategy is crucial to interpreting antibody tests. However, traditional methods based on confidence intervals or receiver operating characteristics lack clear extensions to settings with more than two classes. We