321 citations · 2.6k across the 105 of their papers we have counts for
107 papers
Watts per event: evaluating Sustainability of HEP Event Generators beyond the LHC era
Szabolcs Molnár, Gábor Bíró, Gábor Papp +1
The development, tuning and operation of Monte Carlo event generators beyond the LHC era require vast amount of resources. In this study we investigate the sustainability of these…
Energy landscapes of small SK spin glasses
Imre Kondor, Gábor Papp
We study the SK model for small 's up to . We sort the possible realizations of the coupling matrix into equivalence classes according to the gauge s…
Applications of Domain Adversarial Neural Network in phase transition of 3D Potts model
Xiangna Chen, Feiyi Liu, Weibing Deng +5
Machine learning techniques exhibit significant performance in discriminating different phases of matter and provide a new avenue for studying phase transitions. We investigate the…
Transfer learning of phase transitions in percolation and directed percolation
Jianmin Shen, Feiyi Liu, Shiyang Chen +6
The latest advances of statistical physics have shown remarkable performance of machine learning in identifying phase transitions. In this paper, we apply domain adversarial neural…
Machine learning Hadron Spectral Functions in Lattice QCD
Shi-Yang Chen, Heng-Tong Ding, Fei-Yi Liu +2
Hadron spectral functions carry all the information of hadrons and are encoded in the Euclidean two-point correlation functions. The extraction of hadron spectral functions from th…
Machine learning spectral functions in lattice QCD
S. -Y. Chen, H. -T. Ding, F. -Y. Liu +2
We study the inverse problem of reconstructing spectral functions from Euclidean correlation functions via machine learning. We propose a novel neural network, SVAE, which is based…