J. Ivie

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

Showing 2025Show all

3 papers · 1 filter

cond-mat.mtrl-sci2025

First-principles dissociation pathways of BCl $_{3}$ on the Si(100)-2 $\times$ 1 surface

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

One of the most promising acceptor precursors for atomic-precision $δ$ -doping of silicon is BCl $_{3}$ . The chemical pathway, and the resulting kinetics, through which BCl $_{3}$ 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…

First-principles dissociation pathways of BCl3​ on the Si(100)-2×1 surface

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

Roadmap on Atomic-scale Semiconductor Devices

First-principles dissociation pathways of BCl $_{3}$ on the Si(100)-2 $\times$ 1 surface