124 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Argonne National LaboratoryUS15 papers
- Brookhaven National LaboratoryUS15 papers
- Fermi National Accelerator LaboratoryUS15 papers
- Iowa State UniversityUS15 papers
- Lawrence Berkeley National LaboratoryUS15 papers
- Louisiana State UniversityUS15 papers
- Stony Brook UniversityUS15 papers
- Texas A&M University – Corpus ChristiUS15 papers
- University of California, DavisUS15 papers
- University of California, IrvineUS15 papers
- University of IowaUS15 papers
- Virginia TechUS15 papers
43 papers
Reinforcement Learning-Based Energy-Aware Coverage Path Planning for Precision Agriculture
Beining Wu, Zihao Ding, Leo Ostigaard +1
Coverage Path Planning (CPP) is a fundamental capability for agricultural robots; however, existing solutions often overlook energy constraints, resulting in incomplete operations…
Mechanics-guided parametric modeling of intranasal spray devices and formulations for targeted drug delivery to the nasopharynx
Md Tariqul Hossain, Abir Malakar, Mohammad Yeasin +10
Improving the efficacy of nasal sprays by enhancing targeted drug delivery to intra-airway tissue sites prone to infection onset is hypothesized to be achievable through an optimiz…
Towards mono-energetic virtual beam cross-section measurements: A feasibility study of -Ar interaction analysis with DUNE-PRISM
DUNE Collaboration, S. Abbaslu, A. Abed Abud +1321
Neutrino-nucleus cross-section measurements are critical for future neutrino oscillation analyses. However, our models to describe them require further refinement, and a deeper und…
Operation of a Modular 3D-Pixelated Liquid Argon Time-Projection Chamber in a Neutrino Beam
DUNE Collaboration, S. Abbaslu, A. Abed Abud +1318
The 2x2 Demonstrator, a prototype for the Deep Underground Neutrino Experiment (DUNE) liquid argon (LAr) Near Detector, was exposed to the Neutrinos from the Main Injector (NuMI) n…
Spatial and Temporal Evaluations of the Liquid Argon Purity in ProtoDUNE-SP
DUNE Collaboration, S. Abbaslu, A. Abed Abud +1320
Liquid argon time projection chambers (LArTPCs) rely on highly pure argon to ensure that ionization electrons produced by charged particles reach readout arrays. ProtoDUNE Single-P…
Neutrino Interaction Vertex Reconstruction in DUNE with Pandora Deep Learning
DUNE Collaboration, A. Abed Abud, R. Acciarri +1331
The Pandora Software Development Kit and algorithm libraries perform reconstruction of neutrino interactions in liquid argon time projection chamber detectors. Pandora is the prima…
First Measurement of the Total Inelastic Cross-Section of Positively-Charged Kaons on Argon at Energies Between 5.0 and 7.5 GeV
DUNE Collaboration, A. Abed Abud, B. Abi +1360
ProtoDUNE Single-Phase (ProtoDUNE-SP) is a 770-ton liquid argon time projection chamber that operated in a hadron test beam at the CERN Neutrino Platform in 2018. We present a meas…
Doping Liquid Argon with Xenon in ProtoDUNE Single-Phase: Effects on Scintillation Light
DUNE Collaboration, A. Abed Abud, B. Abi +1317
Doping of liquid argon TPCs (LArTPCs) with a small concentration of xenon is a technique for light-shifting and facilitates the detection of the liquid argon scintillation light. I…
ALERTA-Net: A Temporal Distance-Aware Recurrent Networks for Stock Movement and Volatility Prediction
Shengkun Wang, YangXiao Bai, Kaiqun Fu +3
For both investors and policymakers, forecasting the stock market is essential as it serves as an indicator of economic well-being. To this end, we harness the power of social medi…
Improving FHB Screening in Wheat Breeding Using an Efficient Transformer Model
Babak Azad, Ahmed Abdalla, Kwanghee Won +1
Fusarium head blight is a devastating disease that causes significant economic losses annually on small grains. Efficiency, accuracy, and timely detection of FHB in the resistance…
Impact of cross-section uncertainties on supernova neutrino spectral parameter fitting in the Deep Underground Neutrino Experiment
DUNE Collaboration, A. Abed Abud, B. Abi +1313
A primary goal of the upcoming Deep Underground Neutrino Experiment (DUNE) is to measure the MeV neutrinos produced by a Galactic core-collapse supernova if one s…
Highly-parallelized simulation of a pixelated LArTPC on a GPU
DUNE Collaboration, A. Abed Abud, B. Abi +1300
The rapid development of general-purpose computing on graphics processing units (GPGPU) is allowing the implementation of highly-parallelized Monte Carlo simulation chains for part…
Concept for a Space-based Near-Solar Neutrino Detector
N. Solomey, J. Folkerts, H. Meyer +8
The concept of putting a neutrino detector in close orbit of the sun has been unexplored until very recently. The primary scientific return is to vastly enhance our understanding o…
High-Fidelity Model of Stand-Alone Diesel Electric Generator with Hybrid Turbine-Governor Configuration for Microgrid Studies
Chinmay Shah, Mariko Shirazi, Richard Wies +3
Diesel electric generators are an inherent part of remote hybrid microgrids found in remote regions of the world that provide primary frequency response (PFR) to restore system fre…
Nonlinear Programming Solvers for Unconstrained and Constrained Optimization Problems: a Benchmark Analysis
Giovanni Lavezzi, Kidus Guye, Marco Ciarcià
In this paper we propose a set of guidelines to select a solver for the solution of nonlinear programming problems. With this in mind, we present a comparison of the convergence pe…
Separation of track- and shower-like energy deposits in ProtoDUNE-SP using a convolutional neural network
DUNE Collaboration, A. Abed Abud, B. Abi +1221
Liquid argon time projection chamber detector technology provides high spatial and calorimetric resolutions on the charged particles traversing liquid argon. As a result, the techn…
Learning trends of COVID-19 using semi-supervised clustering
Semhar Michael, Xuwen Zhu, Volodymyr Melnykov
A finite mixture model is used to learn trends from the currently available data on coronavirus (COVID-19). Data on the number of confirmed COVID-19 related cases and deaths for Eu…
Searching for solar KDAR with DUNE
DUNE Collaboration, A. Abed Abud, B. Abi +1174
The observation of 236 MeV muon neutrinos from kaon-decay-at-rest (KDAR) originating in the core of the Sun would provide a unique signature of dark matter annihilation. Since exce…
Data-Driven Power Electronic Converter Modeling for Low Inertia Power System Dynamic Studies
Nischal Guruwacharya, Niranjan Bhujel, Ujjwol Tamrakar +5
A significant amount of converter-based generation is being integrated into the bulk electric power grid to fulfill the future electric demand through renewable energy sources, suc…
Prospects for Beyond the Standard Model Physics Searches at the Deep Underground Neutrino Experiment
DUNE Collaboration, B. Abi, R. Acciarri +970
The Deep Underground Neutrino Experiment (DUNE) will be a powerful tool for a variety of physics topics. The high-intensity proton beams provide a large neutrino flux, sampled by a…
First results on ProtoDUNE-SP liquid argon time projection chamber performance from a beam test at the CERN Neutrino Platform
DUNE Collaboration, B. Abi, A. Abed Abud +987
The ProtoDUNE-SP detector is a single-phase liquid argon time projection chamber with an active volume of m. It is installed at the CERN Neutrino Plat…
Neutrino interaction classification with a convolutional neural network in the DUNE far detector
DUNE Collaboration, B. Abi, R. Acciarri +968
The Deep Underground Neutrino Experiment is a next-generation neutrino oscillation experiment that aims to measure -violation in the neutrino sector as part of a wider physics…
Deep Underground Neutrino Experiment (DUNE), Far Detector Technical Design Report, Volume II: DUNE Physics
B. Abi, R. Acciarri, Mario A. Acero +958
The preponderance of matter over antimatter in the early universe, the dynamics of the supernovae that produced the heavy elements necessary for life, and whether protons eventuall…
Perpendicular Magnetic Anisotropy in Conducting NiCo2O4 Films from Spin-Lattice Coupling
Corbyn Mellinger, Jace Waybright, Xiaozhe Zhang +2
High perpendicular magnetic anisotropy (PMA), a property needed for nanoscale spintronic applications, is rare in oxide conductors. We report the observation of a PMA up to 0.23 MJ…