Machine learning-assisted high-throughput prediction and experimental validation of high-responsivity extreme ultraviolet detectors
R
R. A. W. Ayyubi
M
Mei Xian Low
S
Salar Salimi
M
Majid Khorsandi
M
M. Mosarof Hossain
H
Hurriyat Arooj
S
Shoaib Masood
M
M. Husnain Zeb
N
Nasir Mahmood
Q
Qiaoliang Bao
S
Sumeet Walia
B
Babar Shabbir
Article Details
Journal
Nature Communications
Volume / Issue
Vol. 16, Issue 1
Published
July 07, 2025
ISSN
2041-1723
Publisher
Nature Portfolio
Authors (12)
R
R. A. W. Ayyubi
M
Mei Xian Low
S
Salar Salimi
M
Majid Khorsandi
M
M. Mosarof Hossain
H
Hurriyat Arooj
S
Shoaib Masood
M
M. Husnain Zeb
N
Nasir Mahmood
Q
Qiaoliang Bao
S
Sumeet Walia
B
Babar Shabbir
Related Articles from this Journal
Synthesis of adaptive 15N-nitrosyl-Co7 nanocluster for electrocatalytic C–H functionalization
Chao Wu, Xu Zhang et al.
Aug 2026
10.1038/s41467-026-76516-1
Pan-Ebolavirus nanoparticle vaccine provides protection in rodents from lethal infection by Zaire and Sudan viruses
Connor Weidle, Natalie Brunette et al.
Aug 2026
10.1038/s41467-026-76114-1
Multi-population GWAS meta-analysis identifies bladder cancer susceptibility loci and highlights genetic regulation of smoking-related risk
Ludmila Prokunina-Olsson, Oscar Florez-Vargas et al.
Aug 2026
10.1038/s41467-026-76157-4
Genome-wide annotation of human multi-nucleotide variants reveals widespread functional differences from single nucleotide variants
Weiwei Jin, Wen Cao et al.
Aug 2026
10.1038/s41467-026-76470-y
Allele-specific chromatin architecture shapes imprinted domains and coordinates a distal enhancer and antisense transcription at the mouse Mest-Copg2 domain
Bongmin Bae, Katherine Gu et al.
Aug 2026
10.1038/s41467-026-76506-3