GENETICS-AI pulses

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https://doi.org/10.13020/hk0n-1b13
https://hdl.handle.net/11299/228028

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GENETICS-AI pulses

Published Date

2022-06-16

Authors

Veliparambil Subrahmanian, Manu

Veglia, Gianluigi

Group

Gianluigi Veglia Lab

Author Contact

Veglia, Gianluigi
vegli001@umn.edu

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Dataset

Abstract

New RF shapes for applications in Nuclear magnetic resonance. These shapes are in BRUKER format and can be directly used in pulse sequences for biomolecular NMR experiments. We have generated these pulses using a new algorithm called 'GENETICS-AI', which is a combination of an evolutionary algorithm and artificial intelligence. The main advantage of GENETICS-AI is the customizability of RF shape characteristics such as pulse operation, bandwidth, RF inhomogeneity compensation level and fidelity of the operation. The submitted files include broadband universal π/2 and π pulses.

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Referenced by

Veliparambil Subrahmanian, M., Olivieri, C., KowsalyaDevi, P., and Veglia, G. (2022). Design and applications of water irradiation devoid RF pulses for ultra-high field biomolecular NMR spectroscopy. Phys. Chem. Chem. Phys.
https://doi.org/10.1039/D2CP01744J

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License

RF pulse shapes are copyrighted by Regents of the University of Minnesota and the software for generating RF shapes covered by US patent 11,221,384. Regents of the University of Minnesota will license the use of RF shapes solely for educational and research purposes by non-profit institutions and US government agencies only. For other proposed uses, contact umotc@umn.edu. See the readme file for more information about this license and the use of the files.

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Data Repository for U of M (DRUM)

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NIH grants (GM 64742, HL 144130, GM 100310)

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Veliparambil Subrahmanian, Manu; Veglia, Gianluigi. (2022). GENETICS-AI pulses. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/hk0n-1b13.

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