JOURNAL ARTICLE
An electric-field-assisted magnetic trap for cold molecular evaporative cooling: Toward molecular Bose–Einstein condensation.
Published In: International Journal of Modern Physics B: Condensed Matter Physics; Statistical Physics; Applied Physics, 2025, v. 39, n. 8. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Zhu, He; Bao, Zheng-Bin; Shao, Xu-Ping; Huang, Yun-Xia; Yang, Xiao-Hua 3 of 3
Abstract
Ultracold molecules provide fundamental new insights into molecular interaction dynamics in the quantum regime and represent a new platform for chemical physics where quantum behaviors play a dominant role in molecular interaction and dynamics. An electric-field-assisted magnetic trap for trapping and further evaporative cooling of cold molecules to ultracold regime is proposed utilizing the perturbation of the hyperfine levels in a mixed field, and the depth of the trap can be tuned by adjusting the assisted electric field rapidly. Thus, the evaporative cooling of 1 2 7 I 7 9 Br molecules in the | F = 4 , M F = − 4 〉 state of the rovibronic ground state is simulated. It shows that IBr molecules would be cooled from 26 μ K to 556 nK within 598.9 ms and eventually we would obtain a number of 4. 2 7 × 1 0 4 molecules in a volume of 3. 2 7 × 1 0 − 7 cm3 with the number density of 1. 3 0 × 1 0 1 2 cm − 3 . The Bose–Einstein condensation of the alkali diatomic molecules would probably be realized in the proposed trap if the present experimentally available samples are loaded. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:International Journal of Modern Physics B: Condensed Matter Physics; Statistical Physics; Applied Physics. 2025/03, Vol. 39, Issue 8, p1
- Document Type:Article
- Subject Area:Physics
- Publication Date:2025
- ISSN:0217-9792
- DOI:10.1142/S0217979225500638
- Accession Number:183486023
- Copyright Statement:Copyright of International Journal of Modern Physics B: Condensed Matter Physics; Statistical Physics; Applied Physics is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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