activity
20202025
most citedUnsupervised Segmentation-Based Machine Learning as an Advanced Analysis Tool for Single Molecule Break Junction Data

33 citations · 92 across the 10 of their papers we have counts for

collaborators

11 papers

cond-mat.mtrl-sci2025

First-principles dissociation pathways of BCl on the Si(100)-21 surface

Quinn T. Campbell, Shashank Misra, Jeffrey A. Ivie

One of the most promising acceptor precursors for atomic-precision -doping of silicon is BCl. The chemical pathway, and the resulting kinetics, through which BCl adsorbs…

physics.app-ph2025★ 3 cited

Direct integration of atomic precision advanced manufacturing into middle-of-line silicon fabrication

E. M. Anderson, C. R. Allemang, A. J. Leenheer +13

Atomic precision advanced manufacturing (APAM) dopes silicon with enough carriers to change its electronic structure and can be used to create novel devices by defining metallic re…

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…

cond-mat.mes-hall2024

Exploring transport mechanisms in atomic precision advanced manufacturing enabled pn junctions

Juan P. Mendez, Xujiao Gao, Jeffrey Ivie +4

We investigate the different transport mechanisms that can occur in pn junction devices made using atomic precision advanced manufacturing (APAM) at temperatures ranging from cryog…

cond-mat.mes-hall2022★ 2 cited

Suppression of mid-infrared plasma resonance due to quantum confinement in delta-doped silicon

Steve M. Young, Aaron M. Katzenmeyer, Evan M. Anderson +5

The classical Drude model provides an accurate description of the plasma resonance of three-dimensional materials, but only partially explains two-dimensional systems where quantum…

cond-mat.mes-hall2022

Robust incorporation in multi-donor patches created using atomic-precision advanced manufacturing

Quinn Campbell, Justine C. Koepke, Jeffrey A. Ivie +6

Atomic-precision advanced manufacturing enables the placement of dopant atoms within 1 lattice site in crystalline Si. However, it has recently been shown that reaction kineti…

cond-mat.mtrl-sci2021★ 6 cited

Accelerated Lifetime Testing and Analysis of Delta-doped Silicon Test Structures

Connor Halsey, Jessica Depoy, DeAnna M. Campbell +7

As transistor features shrink beyond the 2 nm node, studying and designing for atomic scale effects become essential. Being able to combine conventional CMOS with new atomic scale…

cond-mat.mes-hall2021★ 28 cited

The impact of stochastic incorporation on atomic-precision Si:P arrays

Jeffrey A. Ivie, Quinn Campbell, Justin C. Koepke +9

Scanning tunneling microscope lithography can be used to create nanoelectronic devices in which dopant atoms are precisely positioned in a Si lattice within 1 nm of a target…

cond-mat.mes-hall2020

Correlated Energy-Level Alignment Effects Determine Substituent-Tuned Single-Molecule Conductance

Jeffrey A. Ivie, Nathan D. Bamberger, Keshaba N. Parida +7

The rational design of single molecule electrical components requires a deep and predictive understanding of structure-function relationships. Here we explore the relationship betw…

cond-mat.mtrl-sci2020

A model for atomic precision p-type doping with diborane on Si(100)-21

Quinn Campbell, Jeffrey A. Ivie, Ezra Bussmann +3

Diborane (BH) is a promising molecular precursor for atomic precision p-type doping of silicon that has recently been experimentally demonstrated [T. {Š}kere{ň}, \textit{et…

cond-mat.mes-hall2020★ 33 cited

Unsupervised Segmentation-Based Machine Learning as an Advanced Analysis Tool for Single Molecule Break Junction Data

Nathan D. Bamberger, Jeffrey A. Ivie, Keshaba N. Parida +2

Improved understanding of charge-transport in single molecules is essential for harnessing the potential of molecules e.g. as circuit components at the ultimate size limit. However…