NOTICE: Due to a lapse in annual appropriations, most of this website is not being updated. Learn more.

Form submissions will still be accepted but will not receive responses at this time. Sections of this site for programs using non-appropriated funds (such as NVLAP) or those that are excepted from the shutdown (such as CHIPS and NVD) will continue to be updated.

U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Mathematics & Statistics

Modeling & simulation research

Search Publications

Search Title, Abstract, Conference, Citation, Keyword or Author
  • Published Date
Displaying 1 - 25 of 488

Estimating the Costs and Performance of Enhanced Building Design: A Case Study of Functional Recovery for New Buildings

September 17, 2025
Author(s)
Sherief Elsibaie, Yating Zhang, Juan Fung, Dustin Cook, Siamak Sattar, Peter Morris, Henry Burton, David Welch, Kamiar Anaraki
This report details the development of different structural design building archetypes and other seismic enhancements, the cost estimation process applied to those archetypes, and the economic implications and estimation of differing functional recovery

Quasi-Deterministic Channel Propagation Model for Human Sensing: Gesture Recognition Use Case

July 9, 2025
Author(s)
Jack Chuang, Raied Caromi, Jelena Senic, Samuel Berweger, Neeraj Varshney, Jian Wang, Anuraag Bodi, Camillo Gentile, Nada Golmie
We describe a quasi-determinstic channel propagation model for human gesture recognition reduced from real-time measurements with our context aware channel sounder, considering four human subjects and 20 distinct body motions, for a total of 120,000

SysML Extension for Logistics Modeling and Analysis (SysLMA)

April 23, 2025
Author(s)
Raphael Barbau, Conrad Bock
Many engineers use analysis tools to predict behavior or find optimal values for properties of systems built to proposed designs, informing system design work by identifying cases where a design will perform incorrectly or in suboptimal ways. Design and

A Collection of Dwellings to Represent the U.S. Housing Stock

February 4, 2025
Author(s)
Nathan Lima, Andrew K. Persily, Steven Emmerich
This report presents a comprehensive update to the collection of dwellings used to represent the U.S. housing stock, reflecting changes and trends up to the year 2024. This update aims to ensure the collection remains relevant and accurately mirrors the

Graphic Approximation of Integer Sequences

November 25, 2024
Author(s)
Brian Cloteaux
A variety of network modeling problems begin by generating a degree sequence drawn from a given probability distribution. If the randomly generated sequence is not graphic, we give two new approaches for generating a graphic approximation of the sequence

Verifying Executability of SysML Behavior Models Using Alloy Analyzer

November 8, 2024
Author(s)
Jeremy Doerr, Conrad Bock, Raphael Barbau
This report presents an approach to verifying executability of system behavior models by treating them as logical constraint problems solved using Alloy Analyzer, a non-proprietary software tool supporting a textual language for logical constraints and

Measurement-Based Prediction of mmWave Channel Parameters Using Deep Learning and Point Cloud

August 2, 2024
Author(s)
Anuraag Bodi, Raied Caromi, Jian Wang, Jelena Senic, Camillo Gentile, Hang Mi, Bo Ai, Ruisi He
Millimeter-wave (MmWave) channel characteristics are quite different from sub-6 GHz frequency bands. The major differences include higher path loss and sparser multipath components (MPCs), resulting in more significant time-varying characteristics in

Modeling Spiking Neurons without Spikes

August 2, 2024
Author(s)
Jeff Shainline, Bryce Primavera, Ryan O'Loughlin
While spiking neuromorphic hardware holds promise for efficient implementations of artificial intelligence, the impact has been limited due in part to a lack of learning algorithms that achieve performance superior to conventional deep learning. One

Post-Quantum Cryptography, and the Quantum Future of Cybersecurity

April 9, 2024
Author(s)
Yi-Kai Liu, Dustin Moody
We review the current status of efforts to develop and deploy post-quantum cryptography on the Internet. Then we suggest specific ways in which quantum technologies might be used to enhance cybersecurity in the near future and beyond. We focus on two goals

Stationary solitary waves in F = 1 spin-orbit-coupled Bose-Einstein condensates

February 27, 2024
Author(s)
Ian Spielman, Amilson Fritsch, Panayotis Kevrekidis, T. Mithun, G. Koutsokostas, D. Frantzeskakis
We consider solitonic excitations above the ground state of $F=1$ spin orbit coupled Bose-Einstein condensates (SOBECs). The low energy properties of SOBECs in any of the three branches of the single particle dispersion relation can be described by

Programming Interfacial Porosity and Symmetry with Escherized Colloids

February 22, 2024
Author(s)
Nathan Mahynski, Vincent K. Shen
We simultaneously design the porosity and plane symmetry of self-assembling colloidal films by using isohedral tiles to determine the location and shape of enthalpically interacting surface patches on motifs being functionalized. The symmetries of both the

A Risk-Averse Stochastic Optimization Model for Community Resilience Planning

February 6, 2024
Author(s)
Tasnim Ibn Faiz, Kenneth Harrison
Community resilience planning is challenging as it involves several large-scale systems with interdependency, populations with diverse socio-economic characteristics, and numerous stakeholders. This study introduces a new optimization model to decrease a

Continuous Mobile Manipulator Performance Measurement Data

January 18, 2024
Author(s)
Omar Aboul-Enein, Henry Medeiros, Mili Shah, Ya-Shian Li-Baboud, Roger Bostelman, Ann Virts
Mobile manipulators, which are robotic systems integrating an automatic or autonomous mobile base with a manipulator, can potentially enhance automation in many industrial and unstructured environments. Namely, large-scale manufacturing processes, typical

AM Bench 2022 Macroscale Tensile Challenge at Different Orientations (CHAL-AMB2022-04-MaTTO) and Summary of Predictions

January 16, 2024
Author(s)
Newell Moser, Jake Benzing, Orion Kafka, Jordan Weaver, Nicholas Derimow, Ross Rentz, Nik Hrabe
The additive manufacturing benchmarking challenge described in this work was aimed at the prediction of average stress–strain properties for tensile specimens that were excised from blocks of non-heat-treated IN625 manufactured by laser powder bed fusion

Deep learning approaches for time-resolved laser absorptivity prediction

January 5, 2024
Author(s)
Runbo Jiang, John Smith, Yu-Tsen Yi, Tao Sun, Brian Simonds, Anthony D. Rollett
The quantification of the amount of absorbed light is essential for understanding laser-material interactions and melt pool dynamics in order to minimize defects in additive manufactured metal components. The geometry of a vapor depression, also known as a

Analyzing "grey zone" Turbulent Kinetic Energy predictions in the Boundary Layer from three WRF PBL Schemes over New York City and comparison to Aircraft measurements

January 1, 2024
Author(s)
Austin Hope, Israel Lopez Coto, Kristian Hajny, Jay M Tomlin, Robert Kaeser, Brian Stirm, Anna Karion, James Whetstone, Paul Shepson
We conduct WRF simulations at multiple resolutions down to the "grey zone" (9 km, 3 km, 1 km, 333 m) to examine boundary layer turbulence in three planetary boundary layer (PBL) schemes: the well-established MYNN PBL scheme and the two newest PBL schemes

Simulating Job Replication Versus its Energy Usage

December 10, 2023
Author(s)
Brian D. Cloteaux, Vladimir Marbukh
Due to the proliferation of computers in all aspects of our lives, the energy and ecological impacts of computing are becoming increasing important. Some of the transformative algorithms of recent years generate huge amounts of carbon dioxide, potentially
Was this page helpful?