Recognition-Based Chiral Amplification through Adaptive Locking

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Publication Details

Journal
Journal of the American Chemical Society
Published
2026-04-22
DOI
https://doi.org/10.1021/jacs.6c03811
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
0.00

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article

Recognition-Based Chiral Amplification through Adaptive Locking

Jonathan L. Sessler, Han‐Yuan Gong, Xingchen Jin, Jiaqi Liang et al.
Journal of the American Chemical Society
Neural Networks and Reservoir Computing
article

Recognition-Based Chiral Amplification through Adaptive Locking

Jonathan L. Sessler, Han‐Yuan Gong, Xingchen Jin, Jiaqi Liang, Jie Yang, Yu‐Dong Yang, Qian Zhang
article en

Abstract

No abstract available for this paper.
Journal of the American Chemical SocietyVol. 148(17)
Beijing Normal University (CN), The University of Texas at Austin (US)
National Science Foundation, Welch Foundation, National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 19%
Neural Networks and Reservoir Computing
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