2 papers
cond-mat.mtrl-sci2025
GEARS H: Accurate machine-learned Hamiltonians for next-generation device-scale modeling
Anubhab Haldar, Ali K. Hamze, Nikhil Sivadas +1
We introduce GEARS H, a state-of-the-art machine-learning Hamiltonian framework for large-scale electronic structure simulations. Using GEARS H, we present a statistical analysis o…
cond-mat.mtrl-sci2025
Modulation doping and control the carrier concentration in 2-dimensional transition metal dichalcogenides
Nikhil Sivadas, Yongwoo Shin
Two-dimensional transition-metal dichalcogenides (TMDs) have attracted interest as post-Si channel candidates in transistor technology. However, despite their potential benefits, c…