99 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Oak Ridge National LaboratoryUS20 papers
- University of Tennessee at KnoxvilleUS7 papers
- National Institute of Advanced Industrial Science and TechnologyJP2 papers
- RIKEN Center for Computational ScienceJP2 papers
- Shenzhen Institutes of Advanced TechnologyCN2 papers
- Tokyo Institute of TechnologyJP2 papers
- Virginia TechUS2 papers
- Arts et MétiersFR1 paper
- Bar-Ilan UniversityIL1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Clemson UniversityUS1 paper
- Florida A&M University - Florida State University College of EngineeringUS1 paper
23 papers
Uncovering Scientific Software Sustainability through Community Engagement and Software Quality Metrics
Sharif Ahmed, Addi Malviya Thakur, Gregory R. Watson +1
Scientific open-source software (Sci-OSS) projects are critical for advancing research, yet sustaining these projects long-term remains a major challenge. This paper explores the s…
Hazard-Responsive Digital Twin for Climate-Driven Urban Resilience and Equity
Zhenglai Shen, Hongyu Zhou
Compounding climate hazards, such as wildfire-induced outages and urban heatwaves, challenge the stability and equity of cities. We present a Hazard-Responsive Digital Twin (H-RDT)…
Mojo: MLIR-Based Performance-Portable HPC Science Kernels on GPUs for the Python Ecosystem
William F. Godoy, Tatiana Melnichenko, Pedro Valero-Lara +5
We explore the performance and portability of the novel Mojo language for scientific computing workloads on GPUs. As the first language based on the LLVM's Multi-Level Intermediate…
Neutron EDM Experiment with an Advanced Ultracold Neutron Source at TRIUMF
T. Higuchi, B. Algohi, D. Anthony +67
The TRIUMF Ultracold Advanced Neutron (TUCAN) collaboration has been developing a high-intensity ultracold neutron (UCN) source aimed at searching for the neutron electric dipole m…
Improving the accuracy of freight mode choice models: A case study using the 2017 CFS PUF data set and ensemble learning techniques
Diyi Liu, Hyeonsup Lim, Majbah Uddin +4
The US Census Bureau has collected two rounds of experimental data from the Commodity Flow Survey, providing shipment-level characteristics of nationwide commodity movements, publi…
Exploring the Effects of Population and Employment Characteristics on Truck Flows: An Analysis of NextGen NHTS Origin-Destination Data
Majbah Uddin, Yuandong Liu, Hyeonsup Lim
Truck transportation remains the dominant mode of US freight transportation because of its advantages, such as the flexibility of accessing pickup and drop-off points and faster de…
Mobility Gaps between Low-Income and Not Low-Income Households: A Case Study in New York State
Yuandong Liu, Majbah Uddin
Understanding the travel challenges faced by low-income residents has always been and continues to be one of the most important transportation equity topics. This study aims to exp…
Injury Severity Analysis of Truck-Involved Crashes under Different Weather Conditions
Majbah Uddin, Nathan Huynh
This paper investigates truck-involved crashes to determine the statistically significant factors that contribute to injury severity under different weather conditions. The analysi…
Factors Influencing Mode Choice of Adults with Travel-Limiting Disability
Majbah Uddin, Meiyu, Pan +1
Despite the plethora of research devoted to analyzing the impact of disability on travel behavior, not enough studies have investigated the varying impact of social and environment…
Modeling Freight Mode Choice Using Machine Learning Classifiers: A Comparative Study Using the Commodity Flow Survey (CFS) Data
Majbah Uddin, Sabreena Anowar, Naveen Eluru
This study explores the usefulness of machine learning classifiers for modeling freight mode choice. We investigate eight commonly used machine learning classifiers, namely Naive B…
Understanding Electric Vehicle Ownership Using Data Fusion and Spatial Modeling
Meiyu, Pan, Majbah Uddin +1
The global shift toward electric vehicles (EVs) for climate sustainability lacks comprehensive insights into the impact of the built environment on EV ownership, especially in vary…
An Interpretable Machine Learning Framework to Understand Bikeshare Demand before and during the COVID-19 Pandemic in New York City
Majbah Uddin, Ho-Ling Hwang, Md Sami Hasnine
In recent years, bikesharing systems have become increasingly popular as affordable and sustainable micromobility solutions. Advanced mathematical models such as machine learning a…
Scaling and complexity of stress fluctuations associated with smooth and jerky flow in a FeCoNiTiAl high-entropy alloy
Mikhail Lebyodkin, Jamieson Brechtl, Tatiana Lebedkina +3
Recent observations of jerky flow in high-entropy alloys (HEA) revealed a high role of self-organization of dislocations in their plasticity. The present work reports first results…
Revisiting Temporal Blocking Stencil Optimizations
Lingqi Zhang, Mohamed Wahib, Peng Chen +4
Iterative stencils are used widely across the spectrum of High Performance Computing (HPC) applications. Many efforts have been put into optimizing stencil GPU kernels, given the p…
Radically Uniform Spike Trains in Optically Injected Quantum Cascade Oscillators
Yibo Peng, Siting Liu, Vassilios Kovanis +1
It has been found that noise-induced excitability in quantum well and quantum dot semiconductor laser systems usually produces spike patterns of non-uniform amplitude. In this lett…
PERKS: a Locality-Optimized Execution Model for Iterative Memory-bound GPU Applications
Lingqi Zhang, Mohamed Wahib, Peng Chen +4
Iterative memory-bound solvers commonly occur in HPC codes. Typical GPU implementations have a loop on the host side that invokes the GPU kernel as much as time/algorithm steps the…
Percolation phase transition on planar spin systems
Caio Alves, Gideon Amir, Rangel Baldasso +1
In this article we study the continuity and sharpness of the phase transition for percolation models defined on top of planar spin systems. The two examples that we treat in detail…
Parametric control of self-sustained and self-modulated optomechanical oscillations
S. Christou, V. Kovanis, A. E. Giannakopoulos +1
Optomechanical systems are known to exhibit a rich set of complex dynamical features including various types of chaotic behavior and multi-stability. Although this exotic behavior…
Assignment of Freight Traffic in a Large-Scale Intermodal Network under Uncertainty
Majbah Uddin, Nathan Huynh, Fahim Ahmed
This paper presents a methodology for freight traffic assignment in a large-scale road-rail intermodal network under uncertainty. Network uncertainties caused by natural disasters…
Benchmarking Quantum Annealing Controls with Portfolio Optimization
Erica Grant, Travis Humble, Benjamin Stump
Quantum annealing offers a novel approach to finding the optimal solutions for a variety of computational problems, where the quantum annealing controls influence the observed perf…
Interdependence in active mobility adoption: Joint modelling and motivational spill-over in walking, cycling and bike-sharing
M Said, A Biehl, A Stathopoulos
Active mobility offers an array of physical, emotional, and social wellbeing benefits. However, with the proliferation of the sharing economy, new nonmotorized means of transport a…
Scalable Dynamic Topic Modeling with Clustered Latent Dirichlet Allocation (CLDA)
Chris Gropp, Alexander Herzog, Ilya Safro +2
Topic modeling, a method for extracting the underlying themes from a collection of documents, is an increasingly important component of the design of intelligent systems enabling t…
Time Stamp Attack in Smart Grid: Physical Mechanism and Damage Analysis
Shuping Gong, Zhenghao Zhang, Husheng Li +1
Many operations in power grids, such as fault detection and event location estimation, depend on precise timing information. In this paper, a novel time stamp attack (TSA) is propo…