4 papers
Data-efficient surrogate modeling of spectral functions using Gaussian processes: An application to the --- model
Sanket Jantre, Nathan M. Urban, Weiguo Yin +1
Spectral functions encode key many-body information but are costly to compute with high fidelity. Machine-learning surrogates have emerged as a powerful alternative, yet many appro…
Competing magnetic phases in CrTe are spatially segregated
V. K. Bhartiya, Anirban Goswami, Nicholas Ng +10
CrTe is a self-intercalated vdW system that is of current interest for its room-temperature FM phases and tunable topological properties. Early NPD measurements on the…
Single crystalline orthorhombic GdAlGe as a rare earth magnetic Dirac nodal-line metal
Antu Laha, Juntao Yao, Asish K. Kundu +11
Crystal engineering is a method for discovering new quantum materials and phases, which may be achieved by external pressure or strain. Chemical pressure is unique in that it gener…
Machine learning approach for vibronically renormalized electronic band structures
Niraj Aryal, Sheng Zhang, Weiguo Yin +1
We present a machine learning (ML) method for efficient computation of vibrational thermal expectation values of physical properties from first principles. Our approach is based on…