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First-principles simulation of spin diffusion in static solids using dynamic mean-field theory.

Timo Gräßer1, Götz S Uhrig2, Matthias Ernst1

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Summary
This summary is machine-generated.

Spin dynamic mean-field theory (spinDMFT) efficiently simulates nuclear spin dynamics and spectral spin diffusion. This method accurately models complex systems, offering a powerful tool for magnetic resonance research.

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Area of Science:

  • Physics
  • Chemistry
  • Materials Science

Background:

  • Nuclear magnetic resonance (NMR) studies disordered nuclear spin ensembles.
  • Exact brute-force calculations of spin dynamics are often impossible due to long-range dipolar interactions involving many spins.

Purpose of the Study:

  • Introduce and validate spin dynamic mean-field theory (spinDMFT) as an efficient and unbiased method for simulating spin dynamics.
  • Demonstrate spinDMFT's capability in describing spectral spin diffusion and simulating zero-quantum line shapes.

Main Methods:

  • Utilized spin dynamic mean-field theory (spinDMFT), requiring only dipolar couplings as input.
  • Applied spinDMFT to static samples and simulated zero-quantum line shapes.
  • Performed benchmarks using two test substances against published experimental data.

Main Results:

  • spinDMFT successfully describes spectral spin diffusion in static samples.
  • Efficient and quantitative simulation of zero-quantum line shapes was achieved.
  • Benchmarks showed an excellent match between spinDMFT simulations and experimental data.

Conclusions:

  • spinDMFT is an efficient and accurate method for simulating spin dynamics in systems with many interacting spins.
  • The method is suitable for large-scale simulations of spin diffusion, crucial for magnetic resonance.
  • spinDMFT overcomes limitations of brute-force calculations, offering a valuable alternative.