Folgen
Dian Wu
Dian Wu
PhD student at EPFL CQSL
Bestätigte E-Mail-Adresse bei epfl.ch
Titel
Zitiert von
Zitiert von
Jahr
Solving Statistical Mechanics Using Variational Autoregressive Networks
D Wu, L Wang, P Zhang
Physical Review Letters 122 (8), 080602, 2019
2652019
NetKet 3: Machine learning toolbox for many-body quantum systems
F Vicentini, D Hofmann, A Szabó, D Wu, C Roth, C Giuliani, G Pescia, ...
SciPost Physics Codebases, 007, 2022
1122022
Variational benchmarks for quantum many-body problems
D Wu, R Rossi, F Vicentini, N Astrakhantsev, F Becca, X Cao, ...
Science 386 (6719), 296-301, 2024
532024
Unbiased Monte Carlo cluster updates with autoregressive neural networks
D Wu, R Rossi, G Carleo
Physical Review Research 3 (4), L042024, 2021
452021
From tensor-network quantum states to tensorial recurrent neural networks
D Wu, R Rossi, F Vicentini, G Carleo
Physical Review Research 5 (3), L032001, 2023
412023
RG-Flow: A hierarchical and explainable flow model based on renormalization group and sparse prior
HY Hu, D Wu, YZ You, B Olshausen, Y Chen
Machine Learning: Science and Technology 3 (3), 035009, 2022
182022
Sparse autoregressive neural networks for classical spin systems
I Biazzo, D Wu, G Carleo
Machine Learning: Science and Technology 5 (2), 025074, 2024
62024
A machine learning strategy for enhancing the strength and toughness in metal matrix composites
Z Zhong, J An, D Wu, N Gao, L Liu, Z Wang, F Meng, X Zhou, T Fan
International Journal of Mechanical Sciences 281, 109550, 2024
52024
Unveiling nonmagnetic phase and many-body entanglement in two-dimensional random quantum magnets SrCuTeWO
D Wu, F Yang, G Carleo
arXiv preprint arXiv:2407.05917, 2024
12024
Learning eigenstates of quantum many-body Hamiltonians within the symmetric subspaces using neural network quantum states
ST Bao, D Wu, P Zhang, L Wang
arXiv preprint arXiv:2407.20065, 2024
2024
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–10