Publisher Correction: Applying Bayesian inference and deterministic anisotropy to retrieve the molecular structure |Ψ(R)|2 distribution from gas-phase diffraction experiments
2023
Files
Abstract
Correction to: Communications Physics https://doi.org/10.1038/s42005-023-01420-9, published online 13 November 2023
Details
Title
Publisher Correction: Applying Bayesian inference and deterministic anisotropy to retrieve the molecular structure |Ψ(R)|2 distribution from gas-phase diffraction experiments
Author
Hegazy, Kareem
Makhija, Varun
Bucksbaum, Phil
Corbett, Jeff
Cryan, James
Hartmann, Nick
Ilchen, Markus
Jobe, Keith
Li, Renkai
Makasyuk, Igor
Shen, Xiaozhe
Wang, Xijie
Weathersby, Stephen
Yang, Jie
Coffee, Ryan
Makhija, Varun
Bucksbaum, Phil
Corbett, Jeff
Cryan, James
Hartmann, Nick
Ilchen, Markus
Jobe, Keith
Li, Renkai
Makasyuk, Igor
Shen, Xiaozhe
Wang, Xijie
Weathersby, Stephen
Yang, Jie
Coffee, Ryan
Affiliation
EuXFEL guest, Other
Author Group
Instrument SQS
Keywords
Topic
Scientific Area
Societal Challenge
Fundamental Science
Imprint
Springer Nature, 2023
Date
2023
Publication Information
Communications Physics, 6 (1), 366 (2023)
Related external records
DOI: https://doi.org/10.1038/s42005-023-01488-3
Related internal records
Applying Bayesian inference and deterministic anisotropy to retrieve the molecular structure ∣Ψ(R)∣² distribution from gas-phase diffraction experiments
Content Type
Articles
Language
English
External Website
https://www.nature.com/articles/s42005-023-01488-3
Record Appears in
Societal Challenges > Fundamental Science
Topics > Computational techniques
Types > Articles
Years > 2023
Topics > Computational techniques
Types > Articles
Years > 2023