67 citations · 72 across the 5 of their papers we have counts for
5 papers
Coupled-cluster molecular properties across the main group that extrapolate beyond training size
Wenhao He, Xu Chen, Noah Song +10
Coupled-cluster theory defines the accuracy standard for molecular electronic-structure properties but scales too steeply for routine application, whereas density-functional theory…
Multi-task learning for molecular electronic structure approaching coupled-cluster accuracy
Hao Tang, Brian Xiao, Wenhao He +6
Machine learning (ML) plays an important role in quantum chemistry, providing fast-to-evaluate predictive models for various properties of molecules. However, most existing ML mode…
Detecting Thermodynamic Phase Transition via Explainable Machine Learning of Photoemission Spectroscopy
Xu Chen, Yuanjie Sun, Eugen Hruska +5
Identifying thermodynamic signatures of electronic phases, such as superconductivity, is challenging in low-dimensional materials due to strong fluctuations and low probing volume.…
Dynamical Approach to Realize Room-Temperature Superconductivity in LaH
Chendi Xie, Adam D. Smith, Haoran Yan +2
Metallic hydrogen and hydride materials stand as promising avenues to achieve room-temperature superconductivity. Characterized by their high phonon frequencies and moderate coupli…
Strong Inter-valley Electron-Phonon Coupling in Magic-Angle Twisted Bilayer Graphene
Cheng Chen, Kevin P. Nuckolls, Shuhan Ding +31
The unusual properties of superconductivity in magic-angle twisted bilayer graphene (MATBG) have sparked enormous research interest. However, despite the dedication of intensive ex…