NOTICE: Due to a lapse in annual appropriations, most of this website is not being updated. Learn more.

Form submissions will still be accepted but will not receive responses at this time. Sections of this site for programs using non-appropriated funds (such as NVLAP) or those that are excepted from the shutdown (such as CHIPS and NVD) will continue to be updated.

U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

PUBLICATIONS

Mathematical optimization of graphene-based quantized Hall arrays for recursive star-mesh transformations

Published

Author(s)

Dominick Scaletta, Swapnil Mhatre, Ngoc Thanh Mai Tran, Cheng Hsueh Yang, Heather Hill, Yanfei Yang, Linli Meng, Alireza Panna, Shamith Payagala, Randolph Elmquist, Dean G. Jarrett, David B. Newell, Albert Rigosi
Citation
Applied Physics Letters
Pub Type
Journals

Download Paper

Local Download
Condensed matter

Citation

Scaletta, D. , Mhatre, S. , Tran, N. , Yang, C. , Hill, H. , Yang, Y. , Meng, L. , Panna, A. , Payagala, S. , Elmquist, R. , Jarrett, D. , Newell, D. and Rigosi, A. (2023), Mathematical optimization of graphene-based quantized Hall arrays for recursive star-mesh transformations, Applied Physics Letters, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=936895 (Accessed October 4, 2025)

Issues

If you have any questions about this publication or are having problems accessing it, please contact [email protected].

Created October 9, 2023, Updated October 10, 2023
Was this page helpful?