A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC | Paper Citation Record

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This paper cites However, TRENTo requires the nucleon-nucleon collision inelastic cross-section.

A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC However, TRENTo requires the nucleon-nucleon collision inelastic cross-section

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A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Unresolved cited work

Reference 2

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A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Unresolved cited work

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This paper cites Wang and M.

A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Wang and M

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This paper cites Pierog, I.

A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Pierog, I

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This paper cites Xie, A.-K.

A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Xie, A.-K

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This paper cites Wang, J.-H.

A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Wang, J.-H

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This paper cites Lei, Z.-L.

A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Lei, Z.-L

Reference 8

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A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Unresolved cited work

Reference 9

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This paper cites Li, Y.-Z.

A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Li, Y.-Z

Reference 10

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This paper cites Sun, C.-X.

A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Sun, C.-X

Reference 11

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This paper cites Jiang, X.-Y.

A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Jiang, X.-Y

Reference 12

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This paper cites Wu, G.-Y.

A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Wu, G.-Y

Reference 13

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This paper cites Jiang, X.-Y.

A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Jiang, X.-Y

Reference 14

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This paper cites de Oliveira, M.

A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC de Oliveira, M

Reference 15

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A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Unresolved cited work

Reference 16

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This paper cites He, Y.-G.

A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC He, Y.-G

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This paper cites Mallick, S.

A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Mallick, S

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This paper cites Steinheimer, L.-G.

A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Steinheimer, L.-G

Reference 19

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This paper cites Huang, L.-G.

A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Huang, L.-G

Reference 20

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A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Mengel, P

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This paper cites Omana Kuttan, J.

A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Omana Kuttan, J

Reference 22

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A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Interpretable deep learning for nuclear deformation in heavy ion collisions

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A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Paganini, L

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A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Unresolved cited work

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A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Unresolved cited work

Reference 26

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A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Cao, J.-Y

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A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Unresolved cited work

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A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Gao, Y.-J

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A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Unresolved cited work

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A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Unresolved cited work

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A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Unresolved cited work

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A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Unresolved cited work

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A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Unresolved cited work

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This paper cites Omana Kuttan, J.

A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Omana Kuttan, J

Reference 35

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A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Adamczyk et al

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A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Unresolved cited work

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A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Alver et al

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A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Unresolved cited work

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A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Adler et al

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A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Adare et al

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A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Adamczyk et al

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A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Adam et al

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A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Unresolved cited work

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A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC PyTorch: An Imperative Style, High-Performance Deep Learning Library

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A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Unresolved cited work

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A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Adams et al

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A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Adler et al

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A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Unresolved cited work

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A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Adam: A Method for Stochastic Optimization

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A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Unresolved cited work

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A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Ahle et al

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A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Unresolved cited work

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A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Abreu et al

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A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Abbas et al

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A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Adam et al

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A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Acharya et al

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A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Unresolved cited work

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A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Udvary, P

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A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Unresolved cited work

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A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Unresolved cited work

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A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Tao, H.-B

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A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Wang, J.-Q

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A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Unresolved cited work

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A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Donnachie and P

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A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Adare et al

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A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Aad et al

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A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Abelev et al

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A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Abelev et al

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This paper cites Zhu, X.-Y.

A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Zhu, X.-Y

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A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Bazavov et al

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