4 papers
From Knowledge to Action: Outcomes of the 2025 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry
Aritra Roy, Kevin Shen, Andrew MacBride +350
Large language models (LLMs) are rapidly changing how researchers in materials science and chemistry discover, organize, and act on scientific knowledge. This paper analyzes a broa…
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…
Giant Optomechanical Coupling in the Charge Density Wave State of Tantalum Disulfide
Anubhab Haldar, Cristian L. Cortes, Stephen K. Gray +2
We study the coupling of light and the structural order parameter in the charge density wave (CDW) state of the layered transition-metal dichalcogenide, Tantalum Disulfide ($1T-\ma…
Ultra-compact low-loss broadband waveguide taper in silicon-on-insulator
Purnima Sethi, Anubhab Haldar, Shankar Selvaraja
A novel design of large bandwidth, fabrication tolerant, CMOS-compatible compact tapers (15 um) have been proposed and experimentally demonstrated in silicon-on-insulator. The prop…