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Machine learning approach for rapid sample screening in near-surface InAs quantum wells

Year: 2026

Type: article

Source: Physical Review Materials

DOI: 10.1103/dffc-sqbz

Authors: Patrick J. Strohbeen, Abtin Abbaspour, Amara Keita, Tarek Nabih, Aliona Lejuste, Krishna Dindial, Andrea Maiani, Alisa Danilenko, Ido Levy, Jacob Issokson, Tyler Cowan, William M. Strickland, Mehdi Hatefipour, Ashley Argueta, Lukas J. Baker, Melissa Mikalsen, Javad Shabani

Institution: New York University

Language: English

Topic: Semiconductor Quantum Structures and Devices

Subfield: Atomic and Molecular Physics, and Optics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: closed

Funders: Multidisciplinary University Research Initiative, Office of Naval Research

Award: G1570376017

OpenAlex ID: W7160854047

FWCI:

Cites: 23

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