14.2k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Fermi National Accelerator LaboratoryUS2.3k papers
- University of RochesterUS2.2k papers
- Centre National de la Recherche ScientifiqueFR2.1k papers
- California Institute of TechnologyUS2k papers
- University of FloridaUS2k papers
- Massachusetts Institute of TechnologyUS1.9k papers
- Purdue University West LafayetteUS1.8k papers
- University of Maryland, College ParkUS1.8k papers
- Institut National de Physique Nucléaire et de Physique des ParticulesFR1.8k papers
- Tata Institute of Fundamental ResearchIN1.7k papers
- University of California, DavisUS1.7k papers
- Joint Institute for Nuclear ResearchRU1.7k papers
236 papers · 1 filter
Phase-Field Modeling of Fracture under Compression and Confinement in Anisotropic Geomaterials
Maryam Hakimzadeh, Carlos Mora-Corral, Noel Walkington +2
Strongly anisotropic geomaterials undergo fracture under compressive loading. This paper applies a phase-field fracture model to study this fracture process. While phase-field frac…
Autonomous Minibus Service with Semi-on-demand Routes in Grid Networks
Max T. M. Ng, Hani S. Mahmassani
This paper investigates the potential of autonomous minibuses which take on-demand directional routes for pick-up and drop-off in a grid network of wider area with low density, fol…
How Well Did U.S. Rail and Intermodal Freight Respond to the COVID-19 Pandemic vs. the Great Recession?
Max T. M. Ng, Joseph Schofer, Hani S. Mahmassani
This paper analyzes and compares patterns of U.S. domestic rail freight volumes during, and after the disruptions caused by the 2007-2009 Great Recession and the COVID-19 pandemic…
Highway Managed Lane Usage and Tolling for Mixed Traffic Flows with Connected Automated Vehicles (CAVs) and High-Occupancy Vehicles (HOVs)
Max T. M. Ng, Hani S. Mahmassani
This paper investigates managed lane (ML) toll setting and its effect under mixed traffic of connected automated vehicles (CAVs), high-occupancy vehicles (HOVs), and human-driven v…
Macroscopic stress, couple stress and flux tensors derived through energetic equivalence from microscopic continuous and discrete heterogeneous finite representative volumes
Jan Eliáš, Gianluca Cusatis
This paper presents a rigorous derivation of equations to evaluate the macroscopic stress tensor, the couple stress tensor, and the flux vector equivalent to underlying microscopic…
Trading Off Energy Storage and Payload -- An Analytical Model for Freight Train Configuration
Max T. M. Ng, Adrian Hernandez, Pablo L. Durango-Cohen +1
To support planning of alternative fuel technology (e.g., battery-electric locomotives) deployment for decarbonizing non-electrified freight rail, we develop a convex optimization…
Collective dynamics behind success
Manuel S. Mariani, Federico Battiston, Emőke-Ágnes Horvát +3
Understanding the collective dynamics behind the success of ideas, products, behaviors, and social actors is critical for decision-making across diverse contexts, including hiring,…
Benchmarking large language models for materials synthesis: the case of atomic layer deposition
Angel Yanguas-Gil, Matthew T. Dearing, Jeffrey W. Elam +5
In this work we introduce an open-ended question benchmark, ALDbench, to evaluate the performance of large language models (LLMs) in materials synthesis, and in particular in the f…
Integrated probabilistic computer using voltage-controlled magnetic tunnel junctions as its entropy source
Christian Duffee, Jordan Athas, Yixin Shao +6
Probabilistic Ising machines (PIMs) provide a path to solving many computationally hard problems more efficiently than deterministic algorithms on von Neumann computers. Stochastic…
Joint Optimization of Multimodal Transit Frequency and Shared Autonomous Vehicle Fleet Size with Hybrid Metaheuristic and Nonlinear Programming
Max T. M. Ng, Hani S. Mahmassani, Draco Tong +2
Shared autonomous vehicles (SAVs) bring competition to traditional transit services but redesigning multimodal transit network can utilize SAVs as feeders to enhance service effici…
Identification of low-momentum muons in the CMS detector using multivariate techniques in proton-proton collisions at = 13.6 TeV
CMS Collaboration
"Soft" muons with a transverse momentum below 10 GeV are featured in many processes studied by the CMS experiment, such as decays of heavy-flavor hadrons or rare tau lepton decays.…
Determination of the strong coupling and its running from measurements of inclusive jet production
CMS Collaboration
The value of the strong coupling is determined in a comprehensive analysis at next-to-next-to-leading order accuracy in quantum chromodynamics. The analysis uses dou…
Self-generated electrokinetic flows from active-charged boundary patterns
Ahis Shrestha, Eleftherios Kirkinis, Monica Olvera de la Cruz
We develop a hydrodynamic description of self-generated electrolyte flow in capillaries whose bounding walls feature both non-uniform distributions of charge and non-uniform active…
Pointing Accuracy Improvements for the South Pole Telescope with Machine Learning
P. M. Chichura, A. Rahlin, A. J. Anderson +93
We present improvements to the pointing accuracy of the South Pole Telescope (SPT) using machine learning. The ability of the SPT to point accurately at the sky is limited by its s…
High-precision measurement of the W boson mass with the CMS experiment
CMS Collaboration
In the standard model of particle physics, the masses of the W and Z bosons, the carriers of the weak interaction, are uniquely related. A precise determination of their masses is…
The IBEX Imaging Knowledge-Base: A Community Resource Enabling Adoption and Development of Immunofluoresence Imaging Methods
Ziv Yaniv, Ifeanyichukwu U. Anidi, Leanne Arakkal +59
The iterative bleaching extends multiplexity (IBEX) Knowledge-Base is a central portal for researchers adopting IBEX and related 2D and 3D immunofluorescence imaging methods. The d…
Improving Multiresource Job Scheduling with Markovian Service Rate Policies
Zhongrui Chen, Isaac Grosof, Benjamin Berg
Modern cloud computing workloads are composed of multiresource jobs that require a variety of computational resources in order to run, such as CPU cores, memory, disk space, or har…
Loss tangent fluctuations due to two-level systems in superconducting microwave resonators
André Vallières, Megan E. Russell, Xinyuan You +10
Superconducting microwave resonators are critical to quantum computing and sensing technologies. Additionally, they are common proxies for superconducting qubits when determining t…
First constraint for atmospheric millicharged particles with the LUX-ZEPLIN experiment
J. Aalbers, D. S. Akerib, A. K. Al Musalhi +215
We report on a search for millicharged particles (mCPs) produced in cosmic ray proton atmospheric interactions using data collected during the first science run of the LUX-ZEPLIN e…
Search for heavy neutral resonances decaying to tau lepton pairs in proton-proton collisions at = 13 TeV
CMS Collaboration
A search for heavy neutral gauge bosons (Z') decaying into a pair of tau leptons is performed in proton-proton collisions at = 13 TeV at the CERN LHC. The data were coll…
Generating AI Literacy MCQs: A Multi-Agent LLM Approach
Jiayi Wang, Ruiwei Xiao, Ying-Jui Tseng
Artificial intelligence (AI) is transforming society, making it crucial to prepare the next generation through AI literacy in K-12 education. However, scalable and reliable AI lite…
Search for heavy neutral Higgs bosons A and H in the Z channel in proton-proton collisions at 13 TeV
CMS Collaboration
A direct search for new heavy neutral Higgs bosons A and H in the Z channel is presented, targeting the process pp A ZH with H $\mathrm{t\bar{t…
Miscentering of Optical Galaxy Clusters Based on Sunyaev-Zeldovich Counterparts
Jupiter Ding, Roohi Dalal, Tomomi Sunayama +7
The "miscentering effect," i.e., the offset between a galaxy cluster's optically-defined center and the center of its gravitational potential, is a significant systematic effect on…
Efficient and Robust Continual Graph Learning for Graph Classification in Biology
Ding Zhang, Jane Downer, Can Chen +1
Graph classification is essential for understanding complex biological systems, where molecular structures and interactions are naturally represented as graphs. Traditional graph n…