10 citations · 18 across the 2 of their papers we have counts for
5 papers
CoPhy-PGNN: Learning Physics-guided Neural Networks with Competing Loss Functions for Solving Eigenvalue Problems
Mohannad Elhamod, Jie Bu, Christopher Singh +5
Physics-guided Neural Networks (PGNNs) represent an emerging class of neural networks that are trained using physics-guided (PG) loss functions (capturing violations in network out…
Correlation induced emergent charge order in metallic vanadium dioxide
Christopher N. Singh, L. F. J Piper, Hanjong Paik +2
Recent progress in growth and characterization of thin-film VO has shown its electronic properties can be significantly modulated by epitaxial matching. To throw new light on t…
Quantum-statistical transport phenomena in memristive computing architectures
Christopher N. Singh, Brian A. Crafton, Mathew P. West +8
The advent of reliable, nanoscale memristive components is promising for next generation compute-in-memory paradigms, however, the intrinsic variability in these devices has preven…
Cooperative Effects of Strain and Electron Correlation in Epitaxial VO2 and NbO2
Wei-Cheng Lee, Matthew J. Wahila, Shantanu Mukherjee +9
We investigate the electronic structure of the epitaxial VO films in the rutile phase using the density functional theory combined with the slave spin method (DFT+SS). In DFT-S…
Importance of orbital fluctuations for the magnetic dynamics in heavy-fermion compound SmB
Christopher N. Singh, Wei-Cheng Lee
The emergent dynamical processes associated with magnetic excitations in heavy-fermion SmB are investigated. By imposing multiorbital interactions on a first-principles model,…