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Publication search results
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)
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