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Magnetic field dependence of the copper charge density wave order in a YBa$_2$Cu$_3$O$_7$/Nd$_0.65$(Ca$_0.7$Sr$_0.3$)$_0.35$MnO$_3$ superlattice

, , , , , , , , , and . Phys. Rev. B, 104 (17): 174513 (Nov 17, 2021)
DOI: 10.1103/PhysRevB.104.174513

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Magnetic field dependence of the copper charge density wave order in a YBa$_2$Cu$_3$O$_7$/Nd$_0.65$(Ca$_0.7$Sr$_0.3$)$_0.35$MnO$_3$ superlattice, , , , , , , , , and . Phys. Rev. B, 104 (17): 174513 (Nov 17, 2021)Untitled, , , , , , , , , and . Nature (London), (2004)Absence of an isotope effect in the magnetic resonance in high- $T_c$ superconductors, , , , , , and . Phys. Rev. B, 71 (22): 220507 (June 2005)Optimal Kullback-Leibler Aggregation via Information Bottleneck., , , and . IEEE Trans. Automat. Contr., 60 (4): 1010-1022 (2015)Co-Clustering via Information-Theoretic Markov Aggregation., , and . CoRR, (2018)A Generalized Framework for Kullback-Leibler Markov Aggregation., , and . CoRR, (2017)How (Not) To Train Your Neural Network Using the Information Bottleneck Principle., and . CoRR, (2018)Greedy Algorithms for Optimal Distribution Approximation., and . Entropy, 18 (7): 262 (2016)Capacity and capacity-achieving input distribution of the energy detector., , and . ICUWB, page 57-61. IEEE, (2012)A Generalized Framework For Kullback-Leibler Markov Aggregation., , and . IEEE Trans. Autom. Control., 65 (7): 3068-3075 (2020)