• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 226 matches

• 2022
• 
  Robert B. Appleby, Roger J. Barlow, Dirk Krücker, James Molson, Scott Rowan, Sam Tygier, Haroon Rafique, Nicholas Walker, Andrzej Wolski:
  Merlin++, a flexible and feature-rich accelerator physics and particle tracking library. Comput. Phys. Commun. 271: 108204 (2022)
• 
  Weihao Song, Zidong Wang, Jianan Wang, Fuad E. Alsaadi, Jiayuan Shan:
  Secure Particle Filtering for Cyber-Physical Systems With Binary Sensors Under Multiple Attacks. IEEE Syst. J. 16(1): 603-613 (2022)
• 
  Damiano Anselmi:
  Purely Virtual Particles in Quantum Gravity, Inflationary Cosmology and Collider Physics. Symmetry 14(3): 521 (2022)
• 
  Zhichao Han, David S. Kammer, Olga Fink:
  Learning Physics-Consistent Particle Interactions. CoRR abs/2202.00299 (2022)
• 
  Caio Davi, Ulisses M. Braga-Neto:
  PSO-PINN: Physics-Informed Neural Networks Trained with Particle Swarm Optimization. CoRR abs/2202.01943 (2022)
• 
  Atul Kumar Sinha, Daniele Paliotta, Bálint Máté, Sebastian Pina-Otey, John A. Raine, Tobias Golling, François Fleuret:
  SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics. CoRR abs/2202.05012 (2022)
• 
  Savannah Thais, Paolo Calafiura, Grigorios Chachamis, Gage DeZoort, Javier M. Duarte, Sanmay Ganguly, Michael Kagan, Daniel Murnane, Mark S. Neubauer, Kazuhiro Terao:
  Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges. CoRR abs/2203.12852 (2022)
• 2021
• 
  Kazuhiro Fujita:
  Physics-Informed Neural Network Method for Space Charge Effect in Particle Accelerators. IEEE Access 9: 164017-164025 (2021)
• 
  Dong Chen:
  Evaluation Model of Physical Education Effect: On the Application of Radial Basis Function-Particle Swarm Optimization Neural Network (RBFNN-PSO). Comput. Intell. Neurosci. 2021: 6819493:1-6819493:11 (2021)
• 
  Lucio Santi, Lucas Rossi, Rodrigo D. Castro:
  Efficient discrete-event based particle tracking simulation for high energy physics. Comput. Phys. Commun. 258: 107619 (2021)
• 
  Julia Vázquez-Escobar, J. M. Hernández, Miguel Cárdenas-Montes:
  Estimation of Machine Learning model uncertainty in particle physics event classifiers. Comput. Phys. Commun. 268: 108100 (2021)
• 
  Chi Zhang, Massoud Rezavand, Yujie Zhu, Yongchuan Yu, Dong Wu, Wenbin Zhang, Jianhang Wang, Xiangyu Hu:
  SPHinXsys: An open-source multi-physics and multi-resolution library based on smoothed particle hydrodynamics. Comput. Phys. Commun. 267: 108066 (2021)
• 
  Stefan Kluth:
  Education and Training for Software Developers in Particle Physics. Comput. Softw. Big Sci. 5(1) (2021)
• 
  Samuel Maddrell-Mander, Lakshan Ram Madhan Mohan, Alexander Marshall, Daniel O'Hanlon, Konstantinos Petridis, Jonas Rademacker, Victoria Rege, Alexander Titterton:
  Studying the Potential of Graphcore^® IPUs for Applications in Particle Physics. Comput. Softw. Big Sci. 5(1) (2021)
• 
  Andrea Alimenti, Nicola Pompeo, Kostiantyn Torokhtii, Enrico Silva:
  Surface Impedance Measurements in Superconductors in DC Magnetic Fields: Challenges and Relevance to Particle Physics Experiments. IEEE Instrum. Meas. Mag. 24(9): 12-20 (2021)
• 
  Weihao Song, Zidong Wang, Jianan Wang, Jiayuan Shan:
  Particle filtering for a class of cyber-physical systems under Round-Robin protocol subject to randomly occurring deception attacks. Inf. Sci. 544: 298-307 (2021)
• 
  Z. X. Lu, G. Meng, Matthias Hoelzl, Philipp Lauber:
  The development of an implicit full f method for electromagnetic particle simulations of Alfvén waves and energetic particle physics. J. Comput. Phys. 440: 110384 (2021)
• 
  Jonathan Shlomi, Peter W. Battaglia, Jean-Roch Vlimant:
  Graph neural networks in particle physics. Mach. Learn. Sci. Technol. 2(2): 21001 (2021)
• 
  David Rousseau:
  Resource-efficient inference for particle physics. Nat. Mach. Intell. 3(8): 656-657 (2021)
• 
  Jan F. Haase, Luca Dellantonio, Alessio Celi, Danny Paulson, Angus Kan, Karl Jansen, Christine A. Muschik:
  A resource efficient approach for quantum and classical simulations of gauge theories in particle physics. Quantum 5: 393 (2021)
• 
  Deepak Sinwar, Monika Saini, Dilbag Singh, Drishty Goyal, Ashish Kumar:
  Availability and performance optimization of physical processing unit in sewage treatment plant using genetic algorithm and particle swarm optimization. Int. J. Syst. Assur. Eng. Manag. 12(6): 1235-1246 (2021)
• 
  Xiaoli Chen, Liu Yang, Jinqiao Duan, George Em Karniadakis:
  Solving Inverse Stochastic Problems from Discrete Particle Observations Using the Fokker-Planck Equation and Physics-Informed Neural Networks. SIAM J. Sci. Comput. 43(3): B811-B830 (2021)
• 
  Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht:
  Visualizing and Characterizing the Parameter Configuration Landscape of Particle Swarm Optimization using Physical Landform Classification. CEC 2021: 2299-2306
• 
  Yalmar Ponce Atencio, Manuel J. Ibarra, Juan José Oré Cerrón, Roberto Quispe Quispe, Richard Flores Condori, Julio Cesar Huanca Marin, Mary Huaman Carrión:
  Particle-Based Physics for Interactive Applications. ICICT (3) 2021: 411-425
• 
  Valentin Delchevalerie, Alexandre Mayer, Adrien Bibal, Benoît Frénay:
  Accelerating $t$-SNE using Fast Fourier Transforms and the Particle-Mesh Algorithm from Physics. IJCNN 2021: 1-8
• 
  Pei Xu, Ioannis Karamouzas:
  PFPN: Continuous Control of Physically Simulated Characters using Particle Filtering Policy Network. MIG 2021: 7:1-7:12
• 
  Matthew Feickert, Benjamin Nachman:
  A Living Review of Machine Learning for Particle Physics. CoRR abs/2102.02770 (2021)
• 
  Zhe Wang, Claude Guet:
  Deep learning in physics: a study of dielectric quasi-cubic particles in a uniform electric field. CoRR abs/2105.09866 (2021)
• 
  Alexander Shmakov, Michael James Fenton, Ta-Wei Ho, Shih-Chieh Hsu, Daniel Whiteson, Pierre Baldi:
  SPANet: Generalized Permutationless Set Assignment for Particle Physics using Symmetry Preserving Attention. CoRR abs/2106.03898 (2021)
• 
  Chase Shimmin:
  Particle Convolution for High Energy Physics. CoRR abs/2107.02908 (2021)

skipping 196 more matches