4 papers
Machine Learning Accelerated SSNEB for Efficient Minimum Energy Pathway Calculations
Yu Zhang, Guanzhi Li, Minkyung Han +4
Metastable states and their minimum energy pathways (MEPs) are central to understanding transformations and phase stability in complex materials, yet mapping transition pathways be…
Machine Learning Reconstruction of High-Dimensional Electronic Structure from Angle-Resolved Photoemission Spectroscopy
Yu Zhang, Yong Zhong, Nhat Huy Tran +7
The emergent behavior of quantum materials is governed by their electronic structure, which can be experimentally probed by photoemission spectroscopy techniques that generate a fo…
Auxiliary Field Quantum Monte Carlo for Electron-Photon Correlation
Braden M. Weight, Yu Zhang
Hybrid light-matter polaritonic states have shown great promise for altering already known and enabling novel chemical reactions and controlling photophysical phenomena. This field…
Light-Matter Hybridization and Entanglement from the First-Principles
Ilia Mazin, Yu Zhang
The hybridization between light and matter is fundamental for achieving cavity-induced control over quantum materials, necessitating accurate ab initio methods for their analysis.…