TY - GEN
T1 - Robust Measurement of Nanowire Laser Performance Across 6 Designs using Experimental Big-Data
AU - Church, Stephen A.
AU - Patel, Nikesh
AU - Al-Abri, Ruqaiya
AU - Al-Amairi, Nawal
AU - Vilasam, Aswani G.S.
AU - Tan, Hoe
AU - Jagadish, Chennupati
AU - Zhang, Yunyan
AU - Liu, Huiyun
AU - Vitale, Francesco
AU - Ronning, Carsten
AU - Jiang, Nian
AU - Joyce, Hannah
AU - Parkinson, Patrick
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Nanowire lasers have been demonstrated in a vast range of materials and architectures. We demonstrate a high-throughput characterization approach to study 10,000s of nanowire lasers of various designs, providing an experimentally and statistically robust assessment of the factors that determine nanowire laser performance.
AB - Nanowire lasers have been demonstrated in a vast range of materials and architectures. We demonstrate a high-throughput characterization approach to study 10,000s of nanowire lasers of various designs, providing an experimentally and statistically robust assessment of the factors that determine nanowire laser performance.
UR - http://www.scopus.com/inward/record.url?scp=85182025309&partnerID=8YFLogxK
U2 - 10.1109/NMDC57951.2023.10344183
DO - 10.1109/NMDC57951.2023.10344183
M3 - Conference contribution
T3 - 2023 IEEE Nanotechnology Materials and Devices Conference, NMDC 2023
SP - 880
BT - 2023 IEEE Nanotechnology Materials and Devices Conference, NMDC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 18th IEEE Nanotechnology Materials and Devices Conference, NMDC 2023
Y2 - 22 October 2023 through 25 October 2023
ER -