Sledovať
Lingxiao Wang
Lingxiao Wang
Ďalšie menáLing-Xiao Wang
Research Scientist, RIKEN-iTHEMS
Overená e-mailová adresa na: riken.jp - Domovská stránka
Názov
Citované v
Citované v
Rok
Exploring QCD matter in extreme conditions with Machine Learning
K Zhou, L Wang, LG Pang, S Shi
Progress in Particle and Nuclear Physics 135, 104084, 2024
622024
Neural network reconstruction of the dense matter equation of state from neutron star observables
S Soma, L Wang, S Shi, H Stöcker, K Zhou
Journal of Cosmology and Astroparticle Physics 2022 (08), 071, 2022
452022
Reconstructing spectral functions via automatic differentiation
L Wang, S Shi, K Zhou
Physical Review D 106 (5), L051502, 2022
402022
Reconstructing the neutron star equation of state from observational data via automatic differentiation
S Soma, L Wang, S Shi, H Stöcker, K Zhou
Physical Review D 107 (8), 083028, 2023
392023
Deep learning stochastic processes with QCD phase transition
L Jiang, L Wang, K Zhou
Physical Review D 103 (11), 116023, 2021
372021
Tumor radiomics signature for artificial neural network-assisted detection of neck metastasis in patient with tongue cancer
YW Zhong, Y Jiang, S Dong, WJ Wu, LX Wang, J Zhang, MW Huang
Journal of Neuroradiology 49 (2), 213-218, 2022
362022
Machine learning spatio-temporal epidemiological model to evaluate Germany-county-level COVID-19 risk
L Wang, T Xu, T Stoecker, H Stoecker, Y Jiang, K Zhou
Machine Learning: Science and Technology 2 (3), 035031, 2021
312021
Rethinking the ill-posedness of the spectral function reconstruction—Why is it fundamentally hard and how Artificial Neural Networks can help
S Shi, L Wang, K Zhou
Computer Physics Communications 282, 108547, 2023
292023
Local suppression and enhancement of the pairing condensate under rotation
L Wang, Y Jiang, L He, P Zhuang
Physical Review C 100 (3), 034902, 2019
252019
Continuous-mixture autoregressive networks learning the kosterlitz-thouless transition
L Wang, Y Jiang, L He, K Zhou
Chinese Physics Letters 39 (12), 120502, 2022
24*2022
Diffusion models as stochastic quantization in lattice field theory
L Wang, G Aarts, K Zhou
Journal of High Energy Physics 2024 (5), 1-30, 2024
222024
Nambu–Jona-Lasinio model in a parallel electromagnetic field
L Wang, G Cao, XG Huang, P Zhuang
Physics Letters B 780, 273-282, 2018
212018
Chiral vortices and pseudoscalar condensation due to rotation
L Wang, Y Jiang, L He, P Zhuang
Physical Review D 100 (11), 114009, 2019
172019
Generative diffusion models for lattice field theory
L Wang, G Aarts, K Zhou
arXiv preprint arXiv:2311.03578, 2023
162023
Escape dynamics based on bounded rationality
L Wang, Y Jiang
Physica A: Statistical Mechanics and its Applications 531, 121777, 2019
162019
Fourier-flow model generating Feynman paths
S Chen, O Savchuk, S Zheng, B Chen, H Stoecker, L Wang, K Zhou
Physical Review D 107 (5), 056001, 2023
152023
Competition between magnetic catalysis effect and chiral rotation effect
L Wang, G Cao
Physical Review D 97 (3), 034014, 2018
152018
Detecting the chiral magnetic effect via deep learning
YS Zhao, L Wang, K Zhou, XG Huang
Physical Review C 106 (5), L051901, 2022
132022
Mode decomposed chiral magnetic effect and rotating fermions
K Fukushima, T Shimazaki, L Wang
Physical Review D 102 (1), 014045, 2020
122020
Identifying lightning structures via machine learning
L Wang, BM Hare, K Zhou, H Stöcker, O Scholten
Chaos, Solitons & Fractals 170, 113346, 2023
112023
Systém momentálne nemôže vykonať operáciu. Skúste to neskôr.
Články 1–20