collaborators

5 papers

cond-mat.mtrl-sci2026

Energy and Scaling Limits of Phase-Change Memory

Rivka-Galya Nir-Harwood, Asir I. Khan, Emanuel Ber +6

Phase change memory (PCM) relies on a reversible transition between amorphous and crystalline states of a material, and stands as a promising candidate for next-generation, energy-…

cond-mat.mtrl-sci2025

Scale-robust Low Resistance Transport in Atomic Layer Deposited Topological Semimetal Wafers on Amorphous Substrate

Dong-Hyun Lim, Young-Min Song, Yeji Kim +8

As data-centric computing advances, energy-efficient interconnects are increasingly critical for AI-driven systems. Traditional metal conductors face severe limitations at nanoscal…

cs.LG2025

Deep Learning to Automate Parameter Extraction and Model Fitting of Two-Dimensional Transistors

Robert K. A. Bennett, Jan-Lucas Uslu, Harmon F. Gault +8

We present a deep learning approach to extract physical parameters (e.g., mobility, Schottky contact barrier height, defect profiles) of two-dimensional (2D) transistors from elect…

cond-mat.mtrl-sci2025

Negative capacitance overcomes Schottky-gate limits in GaN high-electron-mobility transistors

Asir Intisar Khan, Jeong-Kyu Kim, Urmita Sikder +5

For high-electron-mobility transistors based on two-dimensional electron gas (2DEG) within a quantum well, such as those based on AlGaN/GaN heterostructure, a Schottky-gate is used…

cond-mat.mtrl-sci2025

Surface conduction and reduced electrical resistivity in ultrathin noncrystalline NbP semimetal

Asir Intisar Khan, Akash Ramdas, Emily Lindgren +9

The electrical resistivity of conventional metals, such as copper, is known to increase in thin films due to electron-surface scattering, limiting the performance of metals in nano…