DiffNMR3: Advancing NMR Resolution Beyond Instrumental Limits
- URL: http://arxiv.org/abs/2502.06845v1
- Date: Thu, 06 Feb 2025 21:00:35 GMT
- Title: DiffNMR3: Advancing NMR Resolution Beyond Instrumental Limits
- Authors: Sen Yan, Etienne Goffinet, Fabrizio Gabellieri, Ryan Young, Lydia Gkoura, Laurence Jennings, Filippo Castiglione, Thomas Launey,
- Abstract summary: High-field NMR instruments provide high-resolution spectra but are prohibitively expensive, whereas lower-field instruments offer more accessible, but lower-resolution, results.
This paper introduces an AI-driven approach that enhances the frequency resolution of NMR spectra through super-resolution techniques.
- Score: 1.1844780810044506
- License:
- Abstract: Nuclear Magnetic Resonance (NMR) spectroscopy is a crucial analytical technique used for molecular structure elucidation, with applications spanning chemistry, biology, materials science, and medicine. However, the frequency resolution of NMR spectra is limited by the "field strength" of the instrument. High-field NMR instruments provide high-resolution spectra but are prohibitively expensive, whereas lower-field instruments offer more accessible, but lower-resolution, results. This paper introduces an AI-driven approach that not only enhances the frequency resolution of NMR spectra through super-resolution techniques but also provides multi-scale functionality. By leveraging a diffusion model, our method can reconstruct high-field spectra from low-field NMR data, offering flexibility in generating spectra at varying magnetic field strengths. These reconstructions are comparable to those obtained from high-field instruments, enabling finer spectral details and improving molecular characterization. To date, our approach is one of the first to overcome the limitations of instrument field strength, achieving NMR super-resolution through AI. This cost-effective solution makes high-resolution analysis accessible to more researchers and industries, without the need for multimillion-dollar equipment.
Related papers
- DiffMS: Diffusion Generation of Molecules Conditioned on Mass Spectra [60.39311767532607]
DiffMS is a formula-restricted encoder-decoder generative network.
We develop a robust decoder that bridges latent embeddings and molecular structures.
Experiments show DiffMS outperforms existing models on $textitde novo$ molecule generation.
arXiv Detail & Related papers (2025-02-13T18:29:48Z) - DiffNMR2: NMR Guided Sampling Acquisition Through Diffusion Model Uncertainty [2.4634393035848494]
We propose a novel sub-sampling strategy based on a diffusion model trained on protein NMR data.
Our method iteratively reconstructs under-sampled spectra while using model uncertainty to guide subsequent sampling, significantly reducing acquisition time.
This advancement holds promise for many applications, from drug discovery to materials science, where rapid and high-resolution spectral analysis is critical.
arXiv Detail & Related papers (2025-02-06T20:10:28Z) - Single-molecule Scale Magnetic Resonance Spectroscopy using Nitrogen-Vacancy Centers in Diamond [4.390029685572873]
Quantum sensing, particularly leveraging nitrogen-vacancy (NV) centers within diamond structures, presents a promising avenue for single-molecule magnetic resonance.
This review provides a comprehensive overview of the current state-of-the-art in single-molecule scale magnetic resonance.
arXiv Detail & Related papers (2025-01-07T08:40:44Z) - Unraveling Molecular Structure: A Multimodal Spectroscopic Dataset for Chemistry [0.1747623282473278]
This dataset comprises simulated $1$H-NMR, $13$C-NMR, HSQC-NMR, Infrared, and Mass spectra for 790k molecules extracted from chemical reactions in patent data.
We provide benchmarks for evaluating single-modality tasks such as structure elucidation, predicting the spectra for a target molecule, and functional group predictions.
arXiv Detail & Related papers (2024-07-04T12:52:48Z) - SpectralNeRF: Physically Based Spectral Rendering with Neural Radiance
Field [70.15900280156262]
We propose an end-to-end Neural Radiance Field (NeRF)-based architecture for high-quality physically based rendering from a novel spectral perspective.
SpectralNeRF is superior to recent NeRF-based methods when synthesizing new views on synthetic and real datasets.
arXiv Detail & Related papers (2023-12-14T07:19:31Z) - Mid-infrared spectroscopy with a broadly tunable thin-film lithium
niobate optical parametric oscillator [45.82374977939355]
Device generates 25 mW of mid-infrared light at 3.2 microns, offering a power conversion efficiency of 15%.
We demonstrate the tuning and performance of the device by successfully measuring the spectra of methane and ammonia.
arXiv Detail & Related papers (2023-07-09T15:08:35Z) - Toward deep-learning-assisted spectrally-resolved imaging of magnetic
noise [52.77024349608834]
We implement a deep neural network to efficiently reconstruct the spectral density of the underlying fluctuating magnetic field.
These results create opportunities for the application of machine-learning methods to color-center-based nanoscale sensing and imaging.
arXiv Detail & Related papers (2022-08-01T19:18:26Z) - Calculating non-linear response functions for multi-dimensional
electronic spectroscopy using dyadic non-Markovian quantum state diffusion [68.8204255655161]
We present a methodology for simulating multi-dimensional electronic spectra of molecular aggregates with coupling electronic excitation to a structured environment.
A crucial aspect of our approach is that we propagate the NMQSD equation in a doubled system Hilbert space but with the same noise.
arXiv Detail & Related papers (2022-07-06T15:30:38Z) - Zero- to ultralow-field nuclear magnetic resonance and its applications [11.963366832132495]
ZULF NMR detects nuclear magnetization signals in the sub-microtesla regime.
Spin-exchange relaxation-free atomic magnetometers provide a new generation of sensitive detector for ZULF NMR.
ZULF NMR has recently attracted considerable attention in chemistry, biology, medicine, and tests of fundamental physics.
arXiv Detail & Related papers (2020-11-30T16:13:20Z) - Confined nano-NMR spectroscopy using NV centers [5.620334754517149]
Nano-NMR spectroscopy with nitrogen-vacancy centers holds the potential to provide high resolution spectra of minute samples.
One of the main hurdles facing the technology is that diffusion of unpolarized liquid samples broadens the spectral lines thus limiting resolution.
We show that the confinement 'counteracts' the effect of diffusion, thus overcoming a major obstacle to the resolving abilities of the NV-NMR spectrometer.
arXiv Detail & Related papers (2020-06-22T10:15:47Z) - Two-Dimensional Single- and Multiple-Quantum Correlation Spectroscopy in
Zero-Field Nuclear Magnetic Resonance [55.41644538483948]
We present single- and multiple-quantum correlation $J$-spectroscopy detected in zero magnetic field using a Rb vapor-cell magnetometer.
At zero field the spectrum of ethanol appears as a mixture of carbon isotopomers, and correlation spectroscopy is useful in separating the two composite spectra.
arXiv Detail & Related papers (2020-04-09T10:02:45Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.