- Hierarchical Bayesian approach for adaptive integration of Bragg peaks in time-of-flight neutron scattering data
2024/04/01 by Viktor Reshniak, Xiaoping Wang, Reshniak, Viktor +7 · 1 citation
Earth and Planetary Sciences · Engineering · Physics and Astronomy · #Data Analysis #FOS: Physical sciences #Materials Science (cond-mat.mtrl-sci) #Nuclear Physics and Applications #Nuclear reactor physics and engineering #Seismic Imaging and Inversion Techniques #Statistics and Probability (physics.data-an)
- Graph Neural Network for Neutrino Physics Event Reconstruction
2024/03/18 by V Hewes, A. Aurisano, Hewes, V +15 · 4 citations
Physics and Astronomy · #Dark Matter and Cosmic Phenomena #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #Machine Learning (cs.LG) #Neutrino Physics Research #Particle Detector Development and Performance #Statistics and Probability (physics.data-an)
- Active Deep Kernel Learning of Molecular Properties: Realizing Dynamic Structural Embeddings
2024/03/02 by Ayana Ghosh, Ghosh, Ayana, Ziatdinov, Maxim +2 · 1 citation
Computer Science · Materials Science · #Chemical Physics (physics.chem-ph) #Computational Drug Discovery Methods #Computational Physics (physics.comp-ph) #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Statistics and Probability (physics.data-an)
- Using Text Embeddings for Deductive Qualitative Research at Scale in Physics Education
2024/02/28 by Odden, Tor Ole B., Tyseng, Halvor, Mjaaland, Jonas Timmann +2 · 1 citation
#Data Analysis #FOS: Physical sciences #Physics Education (physics.ed-ph) #Statistics and Probability (physics.data-an)
- Computation of marginal eigenvalue distributions in the Laguerre and Jacobi β ensembles
2024/02/25 by Forrester, Peter J., Kumar, Santosh · 1 citation
#11B37 #15A18 #15B52 #33C45 #60B20 #62B10 #81P40 #Computation (stat.CO) #Data Analysis #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Mathematical Physics (math-ph) #Mesoscale and Nanoscale Physics (cond-mat.mes-hall) #Probability (math.PR) #Statistics and Probability (physics.data-an)
- Time persistence of climate and carbon flux networks
2024/02/24 by Qing, Ting, Wang, Fan, Li, Qiuyue +3 · 2 citations
#Atmospheric and Oceanic Physics (physics.ao-ph) #Data Analysis #FOS: Physical sciences #Statistics and Probability (physics.data-an)
- Optimal frequency resolution for spectral proper orthogonal decomposition
2024/02/24 by Liam Heidt, Tim Colonius, Heidt, Liam +1 · 1 citation
Computer Science · Engineering · Mathematics · #Computational Physics (physics.comp-ph) #Control Systems and Identification #Data Analysis #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Image and Signal Denoising Methods #Statistical and numerical algorithms #Statistics and Probability (physics.data-an)
- Physics-constrained polynomial chaos expansion for scientific machine learning and uncertainty quantification
2024/02/23 by H. Sharma, Sharma, Himanshu, Lukăš Novák +3 · 9 citations
Computer Science · Engineering · Physics and Astronomy · #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications #Statistics and Probability (physics.data-an)
- Dynamical Reversibility and A New Theory of Causal Emergence based on SVD
2024/02/23 by Jiang Zhang, Zhang, Jiang, Ruyi Tao +4 · 1 citation
Physics and Astronomy · #Advanced Thermodynamics and Statistical Mechanics #Data Analysis #FOS: Physical sciences #Mathematical Physics (math-ph) #Origins and Evolution of Life #Quantum Mechanics and Applications #Statistical Mechanics (cond-mat.stat-mech) #Statistics and Probability (physics.data-an)
- Adaptive hybrid density functionals
2024/02/22 by Danish Khan, Khan, Danish, Alastair J. A. Price +5 · 1 citation
Chemical Engineering · Chemistry · Materials Science · #Catalysis and Oxidation Reactions #Chemical Physics (physics.chem-ph) #Computational Physics (physics.comp-ph) #Data Analysis #FOS: Physical sciences #History and advancements in chemistry #Machine Learning in Materials Science #Statistics and Probability (physics.data-an)
- Structural analysis and the sum of nodes' betweenness centrality in complex networks
2024/02/21 by Deng, Ronghao, Li, Meizhu, Zhang, Qi · 1 citation
#Data Analysis #FOS: Physical sciences #Physics and Society (physics.soc-ph) #Statistics and Probability (physics.data-an)
- Assessing Correlated Truncation Errors in Modern Nucleon-Nucleon Potentials
2024/02/20 by Millican, P. J., Furnstahl, R. J., Melendez, J. A. +2 · 2 citations
#Data Analysis #FOS: Physical sciences #High Energy Physics - Phenomenology (hep-ph) #Nuclear Theory (nucl-th) #Statistics and Probability (physics.data-an)
- Global Tropical Cyclone Intensity Forecasting with Multi-modal Multi-scale Causal Autoregressive Model
2024/02/16 by Xinyu Wang, Kang Chen, Wang, Xinyu +9 · 3 citations
Earth and Planetary Sciences · #Artificial Intelligence (cs.AI) #Atmospheric and Oceanic Physics (physics.ao-ph) #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Statistics and Probability (physics.data-an) #Tropical and Extratropical Cyclones Research
- Patterns in temporal networks with higher-order egocentric structures
2024/02/06 by Beatriz Arregui-García, Arregui-García, Beatriz, Antonio Longa +7 · 2 citations
Mathematics · Physics and Astronomy · #Complex Network Analysis Techniques #Data Analysis #FOS: Physical sciences #Opinion Dynamics and Social Influence #Physics and Society (physics.soc-ph) #Statistics and Probability (physics.data-an) #advanced mathematical theories
- The IAEA electronic stopping power database: modernization, review, and analysis of the existing experimental data
2024/02/05 by C. C. Montanari, P. Dimitriou, Montanari, C. C. +9 · 1 citation
Engineering · Physics and Astronomy · #Atomic and Molecular Clusters (physics.atm-clus) #Data Analysis #FOS: Physical sciences #Nuclear Physics and Applications #Radiation Detection and Scintillator Technologies #Radiation Effects in Electronics #Statistics and Probability (physics.data-an)
- Unsupervised Learning of Topological Non-Abelian Braiding in Non-Hermitian Bands
2024/01/31 by Yang Long, Haoran Xue, Long, Yang +3 · 1 citation
Computer Science · #Chaos-based Image/Signal Encryption #Data Analysis #FOS: Physical sciences #Mesoscale and Nanoscale Physics (cond-mat.mes-hall) #Neural Networks and Applications #Statistics and Probability (physics.data-an)
- Limits to extreme event forecasting in chaotic systems
2024/01/29 by Yuan Yuan, Yuan, Yuan, Adrián Lozano Durán +1 · 3 citations
Computer Science · Earth and Planetary Sciences · Economics, Econometrics and Finance · #Chaotic Dynamics (nlin.CD) #Complex Systems and Time Series Analysis #Data Analysis #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Marine and environmental studies #Statistics and Probability (physics.data-an) #Time Series Analysis and Forecasting
- Substructure Detection in Realistic Strong Lensing Systems with Machine Learning
2024/01/29 by Arthur Tsang, Atınç Çağan Şengül, Tsang, Arthur +3 · 1 citation
Computer Science · Engineering · Physics and Astronomy · #Advanced Optical Sensing Technologies #Cosmology and Nongalactic Astrophysics (astro-ph.CO) #Data Analysis #FOS: Physical sciences #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Optical Systems and Laser Technology #Optical measurement and interference techniques #Statistics and Probability (physics.data-an)
- Masked Particle Modeling on Sets: Towards Self-Supervised High Energy Physics Foundation Models
2024/01/24 by T. Golling, Golling, Tobias, L. Heinrich +11 · 15 citations
Computer Science · Engineering · Physics and Astronomy · #Computational Physics and Python Applications #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #Machine Learning (cs.LG) #Nuclear reactor physics and engineering #Particle physics theoretical and experimental studies #Statistics and Probability (physics.data-an)
- Finetuning Foundation Models for Joint Analysis Optimization
2024/01/24 by Matthias Vigl, Vigl, Matthias, N. M. Hartman +3 · 5 citations
Computer Science · Physics and Astronomy · #Computational Physics and Python Applications #Data Analysis #Distributed and Parallel Computing Systems #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #Machine Learning (cs.LG) #Particle physics theoretical and experimental studies #Statistics and Probability (physics.data-an)
- Accelerating HEP simulations with Neural Importance Sampling
2024/01/17 by Nicolas Deutschmann, Deutschmann, Nicolas, Niklas Götz +1 · 6 citations
Engineering · Physics and Astronomy · #Computational Physics (physics.comp-ph) #Data Analysis #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #High Energy Physics - Theory (hep-th) #Model Reduction and Neural Networks #Nuclear reactor physics and engineering #Statistics and Probability (physics.data-an)
- Time Series of Magnetic Field Parameters of Merged MDI and HMI Space-Weather Active Region Patches as Potential Tool for Solar Flare Forecasting
2024/01/10 by Paul Kosovich, А. Г. Косовичев, Kosovich, Paul A. +19 · 3 citations
Biochemistry, Genetics and Molecular Biology · Physics and Astronomy · #Applications (stat.AP) #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Geomagnetism and Paleomagnetism Studies #Ionosphere and magnetosphere dynamics #Solar and Space Plasma Dynamics #Solar and Stellar Astrophysics (astro-ph.SR) #Statistics and Probability (physics.data-an)
- Mathematical methods for neutrino cross-section extraction
2024/01/08 by Gardiner, Steven · 3 citations
#Data Analysis #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #Statistics and Probability (physics.data-an)
- Comparing discriminating abilities of evaluation metrics in link prediction
2024/01/08 by Xinshan Jiao, Jiao, Xinshan, Shuyan Wan +13 · 2 citations
Computer Science · Physics and Astronomy · #Advanced Clustering Algorithms Research #Advanced Graph Neural Networks #Complex Network Analysis Techniques #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Social and Information Networks (cs.SI) #Statistics and Probability (physics.data-an)
- Efficient Rare Event Sampling with Unsupervised Normalising Flows
2024/01/02 by Asghar, Solomon, Pei, Qing-Xiang, Volpe, Giorgio +1 · 3 citations
#Computational Physics (physics.comp-ph) #Data Analysis #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Physical sciences #Soft Condensed Matter (cond-mat.soft) #Statistical Mechanics (cond-mat.stat-mech) #Statistics and Probability (physics.data-an)
- Targeted materials discovery using Bayesian algorithm execution
2023/12/26 by Chitturi, Sathya, Ramdas, Akash, Wu, Yue +8 · 7 citations
#Data Analysis #FOS: Physical sciences #Materials Science (cond-mat.mtrl-sci) #Statistics and Probability (physics.data-an)
- Hyperspectral shadow removal with Iterative Logistic Regression and latent Parametric Linear Combination of Gaussians
2023/12/24 by Core Francisco Park, Maya Nasr, Park, Core Francisco +9 · 2 citations
Engineering · Environmental Science · #Advanced Image Fusion Techniques #Atmospheric and Environmental Gas Dynamics #Atmospheric and Oceanic Physics (physics.ao-ph) #Data Analysis #Earth and Planetary Astrophysics (astro-ph.EP) #FOS: Electrical engineering #FOS: Physical sciences #Image and Video Processing (eess.IV) #Remote-Sensing Image Classification #Statistics and Probability (physics.data-an) #electronic engineering #information engineering
- Generative Models for Simulation of KamLAND-Zen
2023/12/22 by Fu, Z., Grant, C., Krawiec, D. M. +2 · 1 citation
#Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Statistics and Probability (physics.data-an)
- AI-Lorenz: A physics-data-driven framework for black-box and gray-box identification of chaotic systems with symbolic regression
2023/12/21 by Mario De Florio, Ioannis G. Kevrekidis, De Florio, Mario +3 · 2 citations
Computer Science · #34A34 #34A55 #70K55 #Chaotic Dynamics (nlin.CD) #Computational Physics (physics.comp-ph) #Computational Physics and Python Applications #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #G.1.7 #I.2.0 #J.2 #Machine Learning (cs.LG) #Neural Networks and Applications #Statistics and Probability (physics.data-an) #Time Series Analysis and Forecasting
- Human mobility is well described by closed-form gravity-like models learned automatically from data
2023/12/18 by Cabanas-Tirapu, Oriol, Danús, Lluís, Moro, Esteban +2 · 6 citations
#Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (stat.ML) #Physics and Society (physics.soc-ph) #Social and Information Networks (cs.SI) #Statistics and Probability (physics.data-an)
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