logo
ResearchBunny Logo
Identifying candidate hosts for quantum defects via data mining

Chemistry

Identifying candidate hosts for quantum defects via data mining

A. M. Ferrenti, N. P. D. Leon, et al.

This research systematically evaluates host materials for quantum defects, identifying 541 viable candidates through a detailed screening process. Conducted by Austin M. Ferrenti, Nathalie P. de Leon, Jeff D. Thompson, and Robert J. Cava, this study offers groundbreaking insights applicable across material systems.... show more
Citation Metrics
Citations
54
Influential Citations
0
Reference Count
139
Citation by Year

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

Related Publications

Explore these studies to deepen your understanding of the subject.

A rapid and effective method for alloy materials design via sample data transfer machine learning
Engineering and Technology

A rapid and effective method for alloy materials design via sample data transfer machine learning

L. Jiang, Z. Zhang, et al.

Automated pipeline for superalloy data by text mining
Engineering and Technology

Automated pipeline for superalloy data by text mining

W. Wang, X. Jiang, et al.

Acupuncture for Major Depressive Disorder: A Data Mining-Based Literature Study
Medicine and Health

Acupuncture for Major Depressive Disorder: A Data Mining-Based Literature Study

M. Tu, S. Xiong, et al.

Research Data Governance. The Need for a System of Cross-organisational Responsibility for the Researcher's Data Domain
Interdisciplinary Studies

Research Data Governance. The Need for a System of Cross-organisational Responsibility for the Researcher's Data Domain

C. Odebrecht

Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny