output
20072026
most citedNon-equilibrium Green's function treatment of phonon scattering in carbon nanotube transistors

185 citations

10 papers

cond-mat.mtrl-sci2026

Hybrid functional calculation of electrical activity and complexing mechanism of Cu-related defects

Xinyu Shi, Zirui He, An-An Sun +5

Copper is a detrimental impurity in silicon with high diffusivity and a high tendency to precipitate. Interaction between Cu and other defects is essential for understanding the na…

cond-mat.supr-con2026

Multigap nodeless superconductivity in Dirac semimetal PdTe

Fengrui Shi, Weilong Qiu, Chufan Chen +12

PdTe has recently been reported to be a type-II Dirac semimetal while a bulk nodal and surface nodeless superconductivity (SC) has been claimed to coexist. In this work, we applied…

cond-mat.mtrl-sci2025★ 2 cited

First-principles Prediction of Carrier Mobility in Semiconductor Nanowires Based on the Spatially Dependent Boltzmann Transport Equation

Zirui He, Shang-Peng Gao, Meng Chen

Carrier mobility in bulk semiconductors is typically governed by electron-phonon (e-ph) scattering. In nanostructures, spatial confinement can lead to significant surface scatterin…

cond-mat.mtrl-sci2025★ 1 cited

Structural Control of Atomic Silicon Wires

Furkan M. Altincicek, Christopher C. Leon, Lucian Livadaru +5

Bare Si(100)-21 surface atoms exhibit a buckled structure where one Si atom in a dimer is lowered while the other is raised, leading to two possible buckling configurations…

quant-ph2025★ 20 cited

Roadmap on Atomic-scale Semiconductor Devices

Steven R. Schofield, Andrew J. Fisher, Eran Ginossar +47

Spin states in semiconductors provide exceptionally stable and noise-resistant environments for qubits, positioning them as optimal candidates for reliable quantum computing techno…

cs.AR2024★ 45 cited

LLM4SecHW: Leveraging Domain Specific Large Language Model for Hardware Debugging

Weimin Fu, Kaichen Yang, Raj Gautam Dutta +2

This paper presents LLM4SecHW, a novel framework for hardware debugging that leverages domain specific Large Language Model (LLM). Despite the success of LLMs in automating various…