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the claim

NMR spectra can be reconstructed using entropy maximization algorithms

the verdict
SUPPORTED
the evidence backs this
Recorded sources
3 sources for · 0 against

Counts group repeated records of the same source within each side. They do not measure evidence strength or source independence.

Multiple studies demonstrate that entropy maximization (MaxEnt) algorithms can successfully reconstruct high-resolution nuclear magnetic resonance (NMR) spectra, particularly from short or nonuniformly sampled data records.

The analysis

The claim states that NMR spectra can be reconstructed using entropy maximization algorithms. Papers [1], [5], and [7] explicitly discuss and demonstrate the application of maximum entropy (MaxEnt) methods for reconstructing NMR spectra, particularly addressing limitations of standard Fourier transforms with short or nonuniformly sampled data. None of the papers refute the claim. Therefore, the balance verdict is SUPPORTED.

Evidence for · 3
Recorded source metadata

J. Hoch, M. Maciejewski, M. Mobli, A. Schuyler, A. S. Stern. Maximum Entropy Reconstruction and Nonuniform Sampling in Multidimensional NMR. 2014. https://doi.org/10.1021/ar400244v

This paper reviews maximum entropy (MaxEnt) reconstruction as a prominent non-Fourier method for obtaining high-resolution NMR spectra from short or nonuniformly sampled data records.

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More for · 2
Recorded source metadata

Worley B. Convex accelerated maximum entropy reconstruction.. 2016. https://doi.org/10.1016/j.jmr.2016.02.003

This study presents an accelerated convex optimization algorithm (CAMERA) specifically designed to reliably reconstruct nonuniformly sampled NMR datasets using the principle of maximum entropy.

Recorded source metadata

P J Hore. Maximum entropy and nuclear magnetic resonance. 1991. https://doi.org/10.1093/oso/9780198539414.003.0003

This historical work establishes the foundational use of the maximum entropy method as an alternative to Fourier transformation in NMR spectroscopy.

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first checked01 Aug 2026
judged → SUPPORTED · 8801 Aug 2026
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