Cuprate Superconductors — Literature Tracker
Weekly update covering papers from the past two weeks from arXiv (cond-mat.supr-con, cond-mat.str-el), APS journals (PRL, PRB, PRX, PRX Quantum, Physical Review Research), Nature family, and Science/AAAS and various other journals.
The output is generated automatically from RSS feeds using python and Claude AI for assessing relevance and one line summaries. It may not be complete. It may also not be accurate.
4 papers
The authors develop a microscopic theory beyond mean-field that couples fermionic quasiparticles with collective phase fluctuations in monolayer cuprates, addressing preformed Cooper pairing and the role of phase fluctuations in the superconducting transition.
This work develops a machine learning approach using symmetry-enforced normalizing flows to sample the Boltzmann distribution of the fermionic Hubbard model, addressing ergodicity problems in Monte Carlo simulations that are crucial for studying strongly correlated systems like cuprates.
This work identifies two distinct magnon modes in bilayer cuprate antiferromagnets - a gapless Goldstone mode and a gapped optical mode - and demonstrates their programmable coupling to microwave cavities for controlling magnon-photon interactions and enabling cavity-mediated magnon exchange.
This theoretical study explores the Hund coupling scenario in bilayer nickelates, finding Fermi liquid behavior and isotropic superconductivity, which is relevant to understanding the pairing mechanisms in nickelate superconductors that are closely related to cuprate physics.