44 citations · 44 across the 3 of their papers we have counts for
3 papers
physics.atom-ph2024
Measurement of microwave polarization using two polarization orthogonal local microwave electric fields in a Rydberg atom-based mixer
Weibo Yin, Jianan Zhang, Fengdong Jia +6
We propose and demonstrate a novel method for measuring the polarization direction of a microwave electric field in a single measurement using a Rydberg atom-based mixer with two o…
physics.comp-ph2024
Improving density matrix electronic structure method by deep learning
Zechen Tang, Nianlong Zou, He Li +10
The combination of deep learning and ab initio materials calculations is emerging as a trending frontier of materials science research, with deep-learning density functional theory…
physics.comp-ph2024★ 44 cited
Universal materials model of deep-learning density functional theory Hamiltonian
Yuxiang Wang, Yang Li, Zechen Tang +14
Realizing large materials models has emerged as a critical endeavor for materials research in the new era of artificial intelligence, but how to achieve this fantastic and challeng…