Skip to content
Independent research & intelligence
OPEN VARIABLE

Evidence-First Signal Intelligence

Menu

Research literature / Journal article

Machine-Learning-Enabled Discovery of Coexisting Phases through Nanospectroscopy of a Wide-Bandgap Semiconductor

Alyssa Bragg; Fengdeng Liu; Zhifei Yang; Donghwan Kim; Nitzan Hirshberg; Madison Garber; Brayden Lukaskawcez; Liam Thompson; Shane MacDonald; Hayden Binger; Devon Uram; Ashley Bucsek; Bharat Jalan; Alexander S. McLeod

Published
Publisher
American Chemical Society (ACS)
Journal / collection
Nano Letters
Research area
Semiconductors
Source type
Journal article
DOI
10.1021/acs.nanolett.5c04478

Read the original source ↗

The original publisher provides the full text and its access options.

Cite this source

Alyssa Bragg; Fengdeng Liu; Zhifei Yang; Donghwan Kim; Nitzan Hirshberg; Madison Garber; Brayden Lukaskawcez; Liam Thompson; Shane MacDonald; Hayden Binger; Devon Uram; Ashley Bucsek; Bharat Jalan; Alexander S. McLeod. Machine-Learning-Enabled Discovery of Coexisting Phases through Nanospectroscopy of a Wide-Bandgap Semiconductor. Nano Letters. 2025-12-18. https://doi.org/10.1021/acs.nanolett.5c04478

Download RIS