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High Fidelity GENETICS-AI RF pulses for NMR Spectroscopy and Imaging

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DataCite Commons2022-08-02 更新2025-04-09 收录
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https://hdl.handle.net/11299/228405
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资源简介:
RF shapes for applications in Nuclear magnetic resonance and Imaging. All the shapes are in BRUKER format and can be directly used in pulse sequences for biomolecular NMR experiments or imaging. All the RF shapes are generated 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 pulses for inversion, excitation, refocusing with different bandwidths and RF inhomogeneity compensation levels.
提供机构:
Data Repository for the University of Minnesota (DRUM)
创建时间:
2022-08-02
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